[Imageworld] Call for papers ICPR2012

Dear Colleagues
The following is the 1st CFP for INCPR2012
Sincerely Yours
Publicity Chair of ICPR2012 A. IMIYA
%%%%%%%%%%%%%%%

ICPR2012 Call for Papers

ICPR2012 is the twenty-first conference of the International Association for
Pattern Recognition (IAPR), which will be held during November 11-15, 2012.

ICPR 2012 will be an international forum for discussions on recent advances
in the fields of Computer Vision; Pattern Recognition and Machine Learning;
Signal, Speech, Image and Video Processing; Biometrics and Human Computer
Interaction; Multimedia and Document Analysis, Processing and Retrieval;
Bioinformatics and Biomedical Applications.

Paper Submission:
Authors will be requested to submit their papers electronically through
the conference website before March 31st, 2012.
http://www.icpr2012.org
Details on paper format for manuscript submission will be available at
the conference web site.

Workshops:
ICPR2012 invites Workshop Proposals. The workshops must be full-day and
will
be held on November 11th, 2012, immediately before the start of
the main conference.

Tutorials:
ICPR2012 invites interested researchers to send proposals for the
Tutorial Program. The tutorials must be half (or full)-day and will be
held on
November 11th, 2012.

Important Dates:
Deadline for paper submission March 31, 2012
Deadline for workshop proposal January 6, 2012
Deadline for tutorial proposal April 30, 2012
Notification of paper acceptance June 15, 2012
Camera ready papers and author registration July 15, 2012

Conference Location:
ICPR2012 will be held at the Tsukuba International Congress Center,
Tsukuba,
Japan.
http://www.epochal.or.jp/eng/index.html
Tsukuba Science City is about 50 km northeast of Tokyo and 40 km
northwest of
the Narita International Airport. The Haneda International Airport is
10 km south of Tokyo.
The Tsukuba Express Line connects Tsukuba/Akihabara in 45 min.

URL: http://www.icpr2012.org
Contact: secretary@icpr2012.org

General Co-Chairs:
Jan-Olof Eklundh (Sweden), Yuichi Ohta (Japan), Steven Tanimoto (USA)

Program-Co-Chairs:
Alberto Del Bimbo (Italy), Kim L. Boyer (USA), Katsushi Ikeuchi (Japan)

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[Imageworld] Postdoctoral Research Assistant in Cancer Image Analysis - Vacancy ID 101618

Postdoctoral Research Assistant
Institute of Biomedical Engineering, Department of Engineering Science,
University of Oxford
Grade 7: £29,099 - £35,788 p.a.

We are seeking a full-time postdoctoral research assistant to join the
Biomedical Image Analysis Laboratory at the Institute of Biomedical
Engineering in Headington. The post is funded by Cancer Research UK, the
Engineering and Physical Sciences Research Council, and the Medical
Research Council, and is fixed-term up to 20 months.

The research project is within the Image Analysis programme of the
Oxford Cancer Imaging Centre, and is carried out in close interaction
with clinicians in the Oxford Cancer Centre (located on the same site as
the IBME). The remit of this post is to develop and evaluate fundamental
and translational image analysis methodology for nonlinear image
alignment to enable quantitative assessment of tumour growth or response
to therapy (and ultimately, prediction of response). You will be
responsible for performing analysis for a range of ongoing clinical
trials, and take a lead in translating existing and newly developed
methodology to clinical research practice.

You should possess (or be near completion of) a relevant PhD/DPhil in
medical image analysis, together with relevant experience to work in a
multi-disciplinary environment with both engineers and clinicians. You
should also possess a solid mathematical and computational background in
medical image analysis, including nonlinear image registration, and
strong programming skills. A solid publication background in relevant
international peer-reviewed conferences and journals is essential.

Informal enquiries may be addressed to julia.schnabel@eng.ox.ac.uk.

Only applications received before midday on 12 January 2012 can be
considered. You will be required to upload a covering letter, a brief
statement of research interests (describing how past experience and
future plans fit with the advertised position), CV and the details of
two referees as part of your online application.

Contact Person : Dr Julia Schnabel
Contact Email : julia.schnabel@eng.ox.ac.uk
Closing Date : 12-Jan-2012
Vacancy ID : 101618
http://www.ibme.ox.ac.uk/biomedia/opportunities

--
Julia A. Schnabel, PhD University Lecturer in Engineering
Science
Institute of Biomedical Engineering Fellow in Engineering, St. Hilda's
College
Department of Engineering Science http://www.ibme.ox.ac.uk
University of Oxford Tel: (44 1865) 6 17687 (voice)
ORCRB, off Roosevelt Drive Tel: (44 1865) 6 17730 (secr.)
Oxford OX3 7DQ, UK Fax: (44 1865) 6 17701
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[Imageworld] Postdoc Opening at the Lab for Computational Imaging and Bioinformatics, Rutgers University

Postdoctoral Fellow / Research Scientist position, Laboratory
of Computational Imaging and Informatics, Rutgers University,
Piscataway, NJ
Position: Postdoctoral Fellow / Research
Scientist position
Organization: Lab of Computational Imaging and
Informatics, Rutgers Univ.
Location: Piscataway, NJ
Deadline: 11-15-11
Description:
Applications are invited for a Postdoctoral Fellow / Research Scientist
position at the Laboratory of Computational Imaging and Informatics
(http://lcib.rutgers.edu/lcib/jobs), Rutgers University in the area of
Biomedical Image Analysis and especially multi-modal image registration,
shape-based modeling and segmentation, and high dimensional data
classification and visualization. The Laboratory for Computational
Imaging and Bioinformatics (LCIB) which boats over 30 personnel
(graduate students, post-docs, undergrads, research faculty) provides a
unique interdisciplinary research environment with internationally
recognized collaborators from Medicine, Biology, Mathematics, and
Engineering. The position entails research in computer-aided diagnosis
for detection of prostate and breast cancer on multi-parametric imaging
and digital pathology, in collaboration with researchers from the Cancer
Institute of New Jersey, Robert Wood Johnson Hospital, NJ, Boston
Medical Center, The University of Pennsylvania Medical Center,
Philadelphia, PA, MD Anderson Cancer Center, University of Buffalo
Medical Center, and the University of California San Francisco. The
candidate will benefit from mentorship of a diverse research and
clinical team and will be exposed to cutting-edge technology.
Qualifications:
Applicants should have a doctoral degree in Computer Science, Electrical
Engineering, Applied Mathematics or a related field. The successful
applicant will have solid research, interpersonal, and communication
skills. Prior experience in either biomedical image analysis, computer
vision, image processing and/or bioinformatics is required. The position
is open immediately and the salary compensation is very competitive. For
consideration, please submit your application preferably in one single
PDF-document including cover letter, a full CV, a statement of research
interests and career goals and the names and email addresses of three
references to anantm[at]rci[dot]rutgers[dot]edu, with subject line
"PDF/RSP: (your name)". For more information please email Prof.
Madabhushi (anantm[at]rci[dot]rutgers[dot]edu). New Jersey offers an
outstanding environment for research and professional opportunities for
growth and collaboration, including the largest medical center in the
country.
Contact:
Anant Madabhushi
Laboratory for Computational Imaging and Informatics
599 Taylor Road,
Piscataway, NJ 08854
Phone: 732-445-4500 (x 6213)
Fax: 732-445-3753
Email: anantm[at]rci[dot]rutgers[dot]edu

Rutgers is an Equal Opportunity/Affirmative Action Employer. Rutgers is
also an ADVANCE institution, one of a limited number of universities in
receipt of NSF funds in support of our commitment to increase diversity
and the participation and advancement of women in the STEM disciplines.

--
Anant Madabhushi, PhD
Associate Professor
Director, Lab for Computational Imaging& Bioinformatics
Dept. of Biomedical Engineering, Rutgers University
599 Taylor Road, Room 213
Piscataway, Nj 08854
Tel: 732-445-4500 (x 6213)
Fax: 732-445-3753
Email: anantm@rci.rutgers.edu
Admin Assist: Rhonda Simone (x 6220)
URL: http://lcib.rutgers.edu/
Twitter URL: http://twitter.com/RutgersLCIB/

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[Imageworld] Postdoc job Cardiovascular Image Analysis at Eindhoven University of Technology, NL

Postdoc Biomedical Image Analysis

 

Recently TU/e established the Imaging Science and Technology Eindhoven Institute (IST/e), which aims to grow to a leading research institute on the crossroads of image acquisition, mathematical modeling, algorithmics, visualization and biomedical applications of complex images or image sequences on the basis of advanced acquisition techniques. This ambitious goal is feasible through synergy of perfectly complementary research groups in TU/e and their collaborative partners at Philips Healthcare and Philips Research and regional and academic medical centers.

 

The Department of Biomedical Engineering at Eindhoven University of Technology seeks a

Postdoc in the field of Cardiovascular Image Analysis.

 

Job description

 

Medical imaging has developed revolutionary, and has become the prime source of information for diagnosis and interventions. The need for sophisticated analysis and visualization algorithms is strongly increasing, not only due to the sheer complexity of the data, now encompassing many modalities and being more and more multi-valued (vector and tensor data, multi-scale, multi-orientation etc.), but also due to the advent of acquisition and visualization of many functional parameters (e.g. strain, diffusivity etc.), the need for image guided surgery and interventions, and the sheer volume of the data.

 

The Biomedical Image Analysis group, headed by prof. Bart M. ter Haar Romeny, and established in 2001, has developed a solid position in research and teaching in this field, and operates at world-class level. See: http://bmia.bmt.tue.nl.

The scientific research in the group BMIA focuses on three closely intertwined areas:

 

•             Design of advanced mathematical algorithms

•             Visualization of multi-valued data

•             Cardiovascular and neuro applications

 

The strength of the group is the close interaction between these areas. The group has set up a full line of teaching, and has continuously 15-20 (full last year) MSc projects active.

 

The Netherlands have traditionally a strong base in image analysis, and the group has established excellent research- and application collaborations with Philips Healthcare (Best), KCL (London), Utrecht University, Maastricht University and many others. BMIA participates in the ‘Institute for Diagnostic & Interventional Imaging’ (IDII), which was established under the Dutch grant application program ‘Innovative Medical Devices Initiative NL’ (2011-2016).

 

Requirements

 

Your research should deal with the long-term topics of BMIA in the fields of cardiovascular or neuro image analysis research and clinical applications. The candidate will strengthen and expand the current research program. She/he will lecture in the Bachelor (in Dutch) and Master (in English) BME programs.

 

The candidate we seek is an excellent researcher in one of the focus areas described above. She/he has published pioneering contributions in major research journals and top conference proceedings. The candidate holds a PhD degree in a relevant discipline (physics, computer science, mathematics, electrical engineering, biomedical engineering) and is an excellent teacher. The candidate should also fulfill the following requirements:

• The candidate is an enthusiastic team player with the ambition to strengthen, expand and focus the current research program. Experience in initiating and participating in collaborative projects with scientific and industrial partners and (international) research programs is advantageous.

 

• The candidate has a proven record of attracting substantial research funding.

 

• The candidate has a good scientific network, and has been invited for keynote lectures, reviews, editor activities and/or conference organization.

 

• The candidate will, preferably, have experience with different application domains and a keen eye for technical solutions.

 

• The candidate has good managerial capabilities.

 

• She/he has an excellent command of the English language.

 

Employment conditions

 

A challenging job at a dynamic and ambitious University of Technology:

 

We offer a postdoc salary based on Dutch Universities rules, related to relevant experience and knowledge, and an attractive package of fringe benefits (including 13th month salary, 8% holiday allowance and 8,3% end of the year allowance, excellent work facilities, child care and sport facilities).

 

More information

 

For more information about the position, please contact prof. Bart M. ter Haar Romeny PhD, email B.M.terHaarRomeny@tue.nl, and for questions about the appointment please approach mrs. Yvonne Bloemers (Human Resources Dept.), email Y.Bloemers@tue.nl. 

 

Applicants are requested to submit:

•             a letter of application;

•             a CV with resume and picture;

•             a list of publications;

•             contact details of three references;

•             statement of research, teaching and leadership.

 

[Imageworld] Reminder: CVPR 2012 Call for Short Courses/Tutorials - Deadline December 2 (this Friday)

CVPR 2012 Short Courses & Tutorials: Call for Proposals
Deadline:  December 2, 2011
Short Courses Chair: Erik Learned-Miller (elm@cs.umass.edu)

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) will take place in Providence, Rhode Island, between June 16-21, 2012.  Short courses and tutorials will take place on June 16, 17 and/or 21, 2012, at the same venue as CVPR, the Rhode Island Convention Center.

Short courses and tutorials are usually half-day with the option of full day courses for wider scope topics. They aim to address a specific topic in computer vision and are supposed to provide a comprehensive overview of the topic. The audience is mostly graduate students. The topic should be of sufficient relevance with respect to the state of the art and the course should be educational rather than just a survey of techniques.

Here are links to Short Course/Tutorial listings from past CVPRs:

2011: http://cvpr2011.org/tutorials

2010: http://cvl.umiacs.umd.edu/conferences/cvpr2010/tutorials/

2009: http://www.cvpr2009.org/call-for-short-courses

To submit a proposal, please send the following information to the Chair by December 2 (either plain text email or a .pdf file):

1) Short course/Tutorial Title.

2) Proposer's name, title, affiliation, and email.

3)  Names of additional organizers with name, title, affiliation and email.

4) Short biosketch of each organizer.

5) Course description. Please provide topics covered, with a brief outline and other significant details. Please discuss the target audience and expected number of attendees. Also, provide pointers to relevant publications by the organizers, and to other publications.

6) Describe the relationship to previous tutorials offered at CVPR, ICCV, and ECCV in the last three years.

7) Planned materials (if any) to be distributed to attendees.

The selection committee will deliver decisions by January 15, 2012.

--

Erik Learned-Miller

Associate Professor

Department of Computer Science

University of Massachusetts, Amherst

https://www.cs.umass.edu/~elm/

[Imageworld] Postdoctoral Position in Bayesian Machine Learning

Hello,

could you please post the following job announcement to the list?

Thanks,

-------------------------------------------------------------------------------

Postdoctoral Position in Bayesian Machine Learning

EPFL's Probabilistic Machine Learning Lab (http://lapmal.epfl.ch/), headed
by Matthias Seeger, has an opening for a post-doctoral fellow in the
field of Bayesian machine learning / low level computer vision, as part of
a project funded by the European Research Council.

The initial appointment is for 12 months, extensions up to 3 years are
possible.
Topics of interest are:

- Variational approximate Bayesian inference (variational Bayes, expectation
propagation, MCMC)
- Bayesian techniques for large scale models (stacks of image frames, 3D
imaging, text)
- Exploring links between approximate Bayesian inference and large scale
optimization (theory and algorithms)
- Applications of variational Bayesian inference to adaptive compressive
sensing, magnetic resonance imaging, low-level computer vision or
neuroscientific models

The Probabilistic Machine Learning Lab is set within a vibrant, world-class
environment at EPFL, one of the leading technical universities worldwide
(the I&C department is top-ranked in Europe).
EPFL is located next to Lake Geneva in a beautiful setting 60 kilometers
away from the city of Geneva. Salaries are internationally competitive
(among
the highest in Europe).

Requirements:

Applicants are expected to have finished, or be about to finish their
Ph.D. degrees. They must have an exceptional background in probabilistic
machine learning, numerical optimization, or statistical physics. A firm
grasp
of approximate Bayesian machine learning and/or advanced (medical) image
processing is a plus.
A track record of relevant publications at top machine learning or computer
vision conferences (NIPS, ICML, UAI, JMLR, CVPR, ICCV, PAMI, IJCV, IEEE IT)
and/or top-ranked image processing or physics journals is essential.

The working language at EPFL is English (good skills essential), French is
not required.

Application:

Please send your applications by email to
Matthias Seeger (matthias.seeger@epfl.ch)

Make sure to include:
- Statement of interest
- Curriculum vitae
- List of publications (add copies of 2-3 strongest papers in the area of
interest of this call)
- Contact details for 2-3 letters of reference

If you happen to attend the forthcoming NIPS conference, December 12-17,
Granada, please do make yourself known to me there.

--
Matthias Seeger Tel.: +41 21 6931396
ICCS, EPF Lausanne, Switzerland http://lapmal.epfl.ch
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[Imageworld] JOB: Computer Vision Engineers - Mobile Acuity Limited - Edinburgh, UK

Are you looking to work with an exciting mobile start-up and to reach a
mass market audience with cutting edge computer vision technology? Read on.

Mobile Acuity provides world leading technology allowing mobile
developers to add mobile visual search to apps. Our latest customers
have millions of mobile users, our technology and intellectual property
are well protected and the company has recently secured growth funding.

We are looking to fill a number of posts to expand our core computer
vision team to work on the ongoing development of our mobile visual
search platform. Successful candidates will get to work on both
pre-production R&D projects and production software for deployment with
customers.

Candidates should have the following skills and experience:

* A strong grounding in a broad range of image processing and computer
vision techniques
* Up to date theoretical understand and practical experience of feature
based image matching
* A strong grasp of linear mathematics and linear and non-linear
optimisation
* An understanding of multi-view projective geometry
* At least 3 years of practical application of computer vision
techniques in solving real world problems in industry or academia
* A highly level of competence in C and C++

The following skills and experience are not essential to us but would
provide you with an advantage:

* A relevant post-graduate qualification
* Experience with linear algebra libraries such as BLAS and LAPACK
* Experience of using Intel's Integrated Performance Primitives Library
* Java development experience
* GPU programming in languages such as OpenCL and CUDA
* Experience of working in a start-up environment

We are offering competitive salaries and share options based on the
candidate's experience. You will be expected to work at our headquarters
based in Edinburgh UK. Edinburgh is a great city in which to work and live.

If you want to know more about the vacancies and the company and you
meet our criteria then please contact me at the address below. No
recruitment agencies please.

--
=================================
Anthony Ashbrook PhD
Founder & CEO
Mobile Acuity Limited
anthony.ashbrook@mobileacuity.com
T: +44 (0) 131 668 6908
M: +44 (0) 7809 420 845
F: +44 (0) 131 650 3474
=================================

London - 24th November 2011 - Tesco partners with Mobile Acuity to
enhance mobile visual discovery and shopping experience for consumers

Manchester - 22nd November 2011 - "TurnIntoCash.com website users get
even more cash thanks to Visual Search technology from Mobile Acuity"

Edinburgh - 8th June 2011 - "Mobile Acuity announces combined Image
Recognition and Robust Barcode Reader library for mobile application
Development"

Edinburgh - 6th June 2011 - "Mobile Acuity selected by Mocom for Image
Search Services in Australia"

London - 15th February 2011 - "Mobile Acuity partnership enables
7digital Visual Music Discovery"
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[Imageworld] R&D Machine Vision vacancies in Dublin

Hello,

I'd just like to pass on some information on a number of Machine
Vision R&D job vacancies in Dublin. The jobs sound quite interesting
and well paid. They are looking for PhDs with strong academic
backgrounds.

If you are interested in applying contact Stephen Boylan
stephen.boylan@lifescience.ie

The Position
· Develop leading edge technologies and platforms for Opto-Electronic
Sorter Division using
high speed machine vision and optical detection techniques.
· Work within a highly skilled and motivated team to develop
technology and software for current & future
electronic sorting systems.
· Liaise with outside bodies such as Universities to identify and
develop new emerging relevant research and
technologies.
· In cooperation with the Product Development Manager and Corporate
Engineering ensure that new
technologies and products are developed on budget and on time.
· Ensure that research is properly structured and documented.

The Person

· An innovative, creative and highly qualified scientist or engineer.
· A person with ambition, energy and drive.
· Professionally qualified to Masters or PhD level, or with equivalent
experience.
· Strong Vision and Image analysis knowledge and experience
· Knowledge and experience required in the following areas:
• Optics and physics of light, laser and LED technologies.
• NIR and UV light emission and detection .
• Photo-detection technology from discrete diode to CCD and CMOS array.
• C and C++ programming
• DSP and Embedded software
• Multi-threaded software development
• Digital and analogue theory with practical experience
• Matlab or equivalent modelling and simulation tools

Mark
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[Imageworld] PhD position: Quality Evaluation and Enhancement of Reproduced Images

The Norwegian Color Research Laboratory at Gjøvik University College in Norway has an open PhD position. The PhD project entitled "Quality Evaluation and Enhancement of Reproduced Images" will focus on the development of image quality metrics correlated with perceived image quality as well as the innovative usage of such metrics to improve or optimize the quality of color image reproduction algorithms, devices, or systems.

 

*****Requirements*****

Candidates are expected to have successfully completed an undergraduate and MSc degree in a relevant discipline and should have demonstrated the ability to successfully conduct research projects. English language proficiency (both written and spoken) should also be documented.

Specific background and skills in one or more of the following areas is highly desirable: Color imaging; Digital image processing; Human and machine vision.

 

*****Conditions*****

The position can be awarded for a period for up to four years, and can include 25% teaching or administrative duties. The position is remunerated according to salary level 48 in the national salary scheme, gross NOK 391 300 per annum, of which 2% is deducted for the State Pension scheme.

 

*****Timeline and Application Procedures*****

Deadline for the application process: 15/12/2011.

Applicants should submit a letter of application, full curriculum vitae including a full list of publications, and at least two references.

Applications must be made through the electronic application system EasyCruit, see http://english.hig.no/about/vacancies

 

*****Contact and information*****

For more information on this position, please contact Prof. Jon Yngve Hardeberg (jon.hardeberg@hig.no), or visit http://www.colorlab.no/vacancies or http://english.hig.no/about/vacancies.

[Imageworld] PhD vacancy at King's College London

There is a vacant PhD studentship in Intelligent Medical Imaging at the
Division of Imaging Sciences and Biomedical Engineering, King's College
London & Department of Computer Science, Imperial College London

As part of an exciting new research project, applications are invited
for a PhD studentship on an innovative programme of research in
developing intelligent algorithms for medical imaging in the presence of
motion. The studentship is part of a 5 year EPSRC programme grant
initiative between King's College London, Imperial College London,
University College London and the Institute of Cancer Research that aims
to change the way medical imaging is currently used. The objectives of
the project are to extract information that can be used to inform
diagnosis and guide therapy directly from the measurements of imaging
devices, particularly MRI scanners. The research will be carried out as
a collaboration between computer scientists, imaging scientists and
clinicians.

The project will be co-supervised by Dr Andy King from King's College
London and Prof. Daniel Rueckert from Imperial College London. The
student can expect to spend some time based at both institutions.
Therefore this is an exciting opportunity to work within two
internationally-leading research groups and in a cross-disciplinary
environment.

Applicants for the PhD studentship should have, or be predicted to have,
a first or upper-second class degree in physics, computer science,
mathematics, engineering or similar scientific subject. Applicants with
an MSc. or MPhil. or equivalent are also invited. Relevant project or
other experience would be an advantage.

Further details on the Division of Imaging Sciences at King's College
London are available online at
http://www.kcl.ac.uk/schools/medicine/research/imaging/. Information on
the Department of Computer Science at Imperial College London are
available at http://biomedic.doc.ic.ac.uk/index.php.

The PhD studentship will include bursaries and tuition fees for 3 years
for EU students. Applications and informal enquiries should be made to
Dr Andrew King (andrew.king@kcl.ac.uk).

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[Imageworld] IJCV Special Issue CfP: Human Computer Interaction - Real-time vision aspects of natural user interfaces

=======================================================
International Journal of Computer Vision Special Issue:
Human Computer Interaction
Real-time vision aspects of natural user interfaces
=======================================================
-----------------------------------------------
Important dates:
-----------------------------------------------
Paper submission deadline:    December 5, 2011 (extended!)
Final Manuscript:                   March      12, 2012
Estimated Online Publication: Summer        2012
-----------------------------------------------
Background:
-----------------------------------------------
Human motion analysis has been an active research topic in computer
vision in the last period with a wide range of possible applications.
Interacting with
electronic devices is the application that receives lot of attention
lately driven by the advent
of new gesture-based gaming controllers such as Wii, Sony EyeToy/
Move, and Xbox Kinect.
Natural human computer interaction is becoming a part of the
mainstream games and consumer
electronics. Directly addressing this new trend, the objective of the
special issue is to gather
high-quality contributions describing leading-edge research in
human-computer interaction
with special attention for the practical issues of designing
real-world human-computer
interaction systems and with a focus on real-time vision aspects
pertinent to the developing
of new generation natural user interfaces.
-----------------------------------------------
Topics:
-----------------------------------------------
Papers describing high-quality original research in various areas of
computer vision and human-computer interaction are welcome. In the
light of recent
introduction of natural user interfaces as part of various consumer
products, the intention is have
the special focus on practical issues of designing human-computer
interaction systems.
Therefore, considering the following topics is particularly encouraged:

Robustness:
• vision algorithms robust to light, occlusions, view point, etc.
• increasing robustness by combining different sensors (e.g. multiple
cameras, depth, infrared, inertial, audio)
• evaluation and comparison of various algorithms and systems

Real-time implementation:
• efficient algorithms and implementation
• implementation on embedded platforms: field programmable gate arrays
(FPGAs), programmable digital signal processors (DSPs), graphics
processing units (GPUs), and various kinds of heterogeneous
multiprocessor devices, etc.
• performance analysis and comparison (e.g. latency, system power
consumption , wireless and other device communication issues)

Other practical issues:
• automatic adaptation to the user and environment (e.g. on-line learning,
auto calibration)
• design, performance analysis and comparison of human-computer
interaction systems (Wizard of Oz and real-system human-computer
interaction user studies)
• novel applications
• standardization

-----------------------------------------------
Guest Editors:
-----------------------------------------------
Zoran Zivkovic, NXP Semiconductors, The Netherlands
Nicu Sebe, University of Trento, Italy,
Hamid Aghajan, Stanford University, USA,
Branislav Kisacanin, Texas Instruments, USA
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[Imageworld] 6-12 months internship at Siemens Molecular Imaging, Oxford, UK

Siemens Molecular Imaging (SMI) is a pioneer in the development of new medical scanners, imaging techniques & applications. The software written in Oxford processes the images from SPECT, PET and CT scanners and enables doctors to visualise the biology of diseases such as cancer, heart disease and dementia. For more information about Siemens Molecular Imaging and the product portfolio: http://tinyurl.com/78q7g8o

Currently we have a pre-development internship available in the Science and Technology team (STT) within SMI whose role is the definition, pre-development, and evaluation of advanced image processing solutions for our software portfolio. During the internship, clinical prototypes shall be developed that integrate novel algorithms developed either on-site or externally. The resulting applications shall be evaluated in collaboration with internal an external partners with respect to user interface experience, clinical workflow, etc. and are used as basis to test and improve utilized imaging techniques.

An online application form as well as details for this opening can be found at:
https://careers.siemens.successfactors.eu/sfcareer/jobreqcareer?jobId=86891&company=Siemens&username=
The application closing date will be December 15th, 2011.

For further questions about this specific role only, please feel free to email jens.kaftan @ siemens.com
___________________________

Jens N. Kaftan
Siemens plc
Healthcare Sector
Molecular Imaging
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United Kingdom_______________________________________________
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[Imageworld] Fwd: Tuebingen, Germany: Job Announcement: Visual Embodiment with the Centre for Integrative Neuroscience

Hello,

Could you please forward this job announcement for the Max Planck Institute for Biological Cybernetics to any potentially interested scientists.

Thank you,

Betty Mohler

----------------------
2 Year Postdoctoral Research or PhD Student Fellowship in Computer Science, Psychology and/or Neuroscience on Visual Embodiment Project (CIN 2011-16) at the Werner Reichardt Centre for Integrative Neuroscience, Tübingen (Germany)

see: https://sites.google.com/site/mpgpave/


Stipend
1,365€-1,416€ per month (tax free fellowship)

Application Deadline
November 25th, 2011

The Werner Reichardt Centre for Integrative Neuroscience (CIN) is an interdisciplinary institution at the Eberhard Karls University Tübingen, funded by the German Excellence Initiative programme. It is supported by the faculties of mathematics and natural science, medicine, and philosophy, the Max Planck Institute for Biological Cybernetics, and the Hertie Institute for Clinical Brain Research. The CIN strives to advance our understanding of the mind/brain by studying how the brain generates and sustains mental functions and how brain diseases impair these functions.

As part of its integrative approach to studying the mind/brain, the CIN offers a postdoctoral research fellowship or a doctoral fellowship for promising researchers in the field of psychology, computer science and/or neuroscience. The candidate should either be a psychologist, a computer scientist (emphasis on graphics and media/virtual reality), or a cognitive scientist with a strong background in philosophy of mind/psychology/neuroscience and a track record of empirical research. A PhD or Masters is required by the time of appointment. The working language of the CIN is English.

The successful candidate will be a member of the MPI for Biological Cybernetic's Perception and Action in Virtual Environments Research Group, led by Dr. Betty  Mohler, and will be a postdoctoral research fellow or doctoral student on the visual embodiment project (CIN 2011-16) that the Perception and Action in Virtual Environments Group at the Max Planck Institute for Biological Cybernetics, Tübingen (Dr. Betty Mohler, Dr. Sally Linkenauger, and Prof Heinrich H. Bülthoff) is embarking on in collaboration with Philosophy of Neuroscience Group at the CIN, led by Dr. Hong Yu Wong. More details of the project can be found at https://sites.google.com/site/whywong/collaborators.

Duties
The postdoctoral or doctoral fellow will conduct research on psychological research themes arising from the scientific and philosophical study of body perception, with a particular focus on the notion of body ownership. In collaboration with partner scientists on the visual embodiment project, the fellow will design and implement virtual reality experiments which manipulate some aspect of the sensory experience of self and measure resulting behavior. In addition, the fellow will report research activities to the Tübingen Body Perception Forum, a Forum set up to consolidate body perception research in the Tübingen area.

Framework
The duration of the position is for 2 years provisional on the renewal of the CIN Excellence Cluster for a second funding period after October 2012. The candidate will be provided with opportunities to contribute to graduate teaching/training at the CIN Graduate Training Centre and the university faculties associated with the CIN. If desired, the university will provide opportunities to do a German "Habilitation" (second book) according to established rules. The planned start date of the position is January 1, 2012. Earlier or later start dates are negotiable.

According to German law, severely disabled persons with equal occupational aptitude will be given preferential consideration.

The University of Tübingen strives to promote equal opportunities in science and is committed to increasing the percentage of females in teaching and research. Qualified female candidates are thus strongly encouraged to apply.

Application
Applicants should submit a curriculum vitae, one sample of their scientific writing (not to exceed 10,000 words), a one page statement relating their research to the aims of the visual embodiment project, and two reference letters. Candidates should request their referees to email Dr. Mohler directly with their reference letters. All documents should be submitted electronically (pdf) to the Group Leader of the Perception and Action in Virtual Environments Research Group, Dr. Betty J. Mohler, at betty.mohler@mpg.tuebingen.de. The deadline for applications is November 25th, 2011. Inquiries about the post should be directed to Dr. Mohler.

For further information on the CIN, the Perception and Action in Virtual Environments Research Group and the Philosophy of Neuroscience Group see:
www.cin.uni-tuebingen.de
http://www.kyb.tuebingen.mpg.de/?id=50
www.cin.uni-tuebingen.de/research/research-groups/philosophy-of-neuroscience-wong.php






2 Year Postdoctoral Research or PhD Student Fellowship in Computer Science and Neuroscience on Visual Embodiment Project (CIN 2011-16) at the Werner Reichardt Centre for Integrative Neuroscience, Tübingen (Germany)

APPLICATION CHECKLIST
1.      Curriculum vitae
2.      Writing sample (not to exceed 10,000 words)
3.      Statement of research (1 page)
4.      2 reference letters (to be directly emailed by referees)


Submit application to Dr. Betty J. Mohler at betty.mohler@tuebingen.mpg.de

Deadline November 25th, 2011

[Imageworld] Faculty Positions in Computer Science, THE UNIVERSITY OF TEXAS AT SAN ANTONIO

Appologize for multiple postings.

 

 

THE UNIVERSITY OF TEXAS AT SAN ANTONIO

 

Faculty Positions in Computer Science

 

The Department of Computer Science at The University of Texas at San Antonio invites applications for tenure/tenure-track positions at the Assistant, Associate or Professor level, starting Fall 2012. All areas of computer science will be considered. We are particularly interested in candidates in theory and algorithms as well as computer architecture, with a focus on computer and information security as a cross-cutting concern.

 

Required qualifications: Applicants for an Assistant Professor position must have earned a Ph.D. prior to September 1, 2012, in Computer Science or in a related field and must demonstrate a strong potential for excellence in research and teaching.

 

Applicants for an Associate Professor position must have a Ph.D. in Computer Science or related field and previous experience in graduate and undergraduate teaching. They should have an established research program in their area of specialization.

 

Applicants for a Full Professor position must have a Ph.D. in Computer Science or a related field and previous experience in graduate and undergraduate teaching and academic program development as well as a recognized and well-funded program of research.

 

Responsibilities include research, teaching at the graduate and undergraduate levels, and program development. Salary and start-up supporting packages for the positions are highly competitive.

 

The Department of Computer Science currently has 23 faculty members and offers B.S., M.S., and Ph.D. degrees supporting a dynamic and growing program with 560 undergraduates and more than 160 graduate students, including 81 Ph.D. students. The research activities and experimental facilities have been well-supported by various federal research and infrastructure grants. See http://www.cs.utsa.edu for additional information on the Department of Computer Science and its faculty.

 

With over 30,000 students UTSA is the largest university in South Texas. The city of San Antonio has a population of over one million and is known for its rich Hispanic culture, historic attractions, affordable housing, and excellent medical facilities. The Austin-San Antonio corridor is a high-tech center that serves as the home of many major computer companies. Nearby higher education and research institutions include the UT Health Science Center and the Southwest Research Institute.

 

Applicants must submit a letter of application that identifies the level(s) of the position for which they wish to be considered. Applications must also include a complete dated curriculum vitae (including employment, peerreviewed publications and grants in chronological order), a statement of research interests, and the names, addresses (postal and e-mail), and telephone numbers of at least three references. Applicants who are selected for interviews must be able to show proof that they will be eligible and qualified to work in the US by the time of hire. These positions are pending budget approval. Screening of applications will begin on January 2, 2012 and will continue until all positions are filled or the search is closed. The University of Texas at San Antonio is an Affirmative Action/Equal Opportunity Employer. Women, minorities, veterans, and individuals with disabilities are encouraged to apply. Applications must be submitted by email in PDF format to fsearch@cs.utsa.edu.

 

Chair of Faculty Search Committee

Department of Computer Science

The University of Texas at San Antonio

One UTSA Circle

San Antonio, TX 78249-0667

Phone: 210-458-4436 Fax: 210-458-4437

fsearch@cs.utsa.edu

[Imageworld] PhD position: Quality Evaluation and Enhancement of Reproduced Images

The Norwegian Color Research Laboratory at Gjøvik University College in Norway has an open PhD position. The PhD project titled “Quality Evaluation and Enhancement of Reproduced Images” will focus on the development of image quality metrics correlated with perceived image quality as well as the innovative usage of such metrics to improve or optimize the quality of color image reproduction algorithms, devices, or systems.

 

*****Requirements*****

Candidates are expected to have successfully completed an undergraduate and MSc degree in a relevant discipline and should have demonstrated the ability to successfully conduct research projects. English language proficiency (both written and spoken) should also be documented.

Specific background and skills in one or more of the following areas is highly desirable: Color imaging; Digital image processing; Human and machine vision.

 

*****Conditions*****

The position can be awarded for a period for up to four years, and can include 25% teaching or administrative duties. The position is remunerated according to salary level 48 in the national salary scheme, gross NOK 391 300 per annum, of which 2% is deducted for the State Pension scheme.

 

*****Timeline and Application Procedures*****

Deadline for the application process: 15/12/2011.

Applicants should submit a letter of application, full curriculum vitae including a full list of publications, and at least two references.

Applications must be made through the electronic application system EasyCruit. Link will be available from http://english.hig.no/about/vacancies

 

*****Contact and information*****

For more technical information on this positions, please contact Prof. Jon Yngve Hardeberg(jon.hardeberg@hig.no).

General information on the position   can be provided by the head of the Media Technology Laboratory, Ass.Prof. Terje Stafseng (terje.stafseng@hig.no).

 

For more information on the position visit http://www.colorlab.no/vacancies or http://english.hig.no/about/vacancies

[Imageworld] Opening: vision for robotics at JPL

The Jet Propulsion Laboratory (JPL) is looking for additional researchers
for post-doc or full-time positions for projects involving the following
topics as they bear on robot navigation and manipulation:

- 3-D perception and dynamic scene understanding via stereo vision and/or
optical flow

- Material classification using range data from stereo, ladar, color,
polarization, and motion-based cues for outdoor navigation in urban areas
and off-road, as well as for robot manipulation.

- Localization and mapping in long distance autonomous navigation

- Object recognition for manipulation and for navigation of robotic ground
and air vehicles

Respond by email with resume, three references, and date of availability to:

Larry Matthies
Supervisor, Computer Vision Group
lhm@jpl.nasa.gov

JPL conducts research sponsored by NASA, DoD, other government agencies, and
industry on a wide range of applications on Earth and in space. More
information about robotics at JPL can be found at
http://robotics.jpl.nasa.gov <http://robotics.jpl.nasa.gov/> .

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[Imageworld] PhD position, Medical Image Analysis and Image-Guided Robotic Surgery, Simon Fraser University, Vancouver, Canada

The Medical Image Analysis Lab at Simon Fraser University (MIAL at SFU) has an opening for a PhD student to become part of an international team working on image-guided minimally invasive robotic surgery. The team includes members from Simon Fraser University and the University of British Columbia (Canada), Cleveland Clinic (USA), and the Qatar Robotic Surgery Centre (Qatar).

The 3-year funding of US$30,000/year for this PhD position can start immediately and is made possible by the Qatar National Research Fund. The students will spend 6 months in Vancouver (MIAL at SFU) and 6 months at the Qatar Robotic Surgery Centre QRSC in Doha, Qatar. The QRSC is a state-of-the-art facility that houses 2 daVinci robots and other medical imaging equipment, simulators, and high-end computing infrastructure.

The applicant should have a degree in computer science, engineering, applied math or related fields, with a strong background in mathematics and computing (e.g. matrix algebra, probability, multivariate  statistics, PDE, graph theory, optimization, machine learning) with excellent algorithmic and  programming skills  (MATLAB, C/C++). Candidates with previous experience in medical image analysis (e.g. image segmentation and registration, computer vision, 2D/3D image processing) and using ITK will be ideal for this position. Experience in GPU/parallel programming, VTK, computer graphics and visualization is a plus.

Interested and qualified applicants should send their CV (PDF file format) in an email to Prof. Ghassan Hamarneh ( hamarneh@sfu.ca ) with the subject: PhD in Image-Guided Robotic Surgery.

/Ghassan

----

Ghassan Hamarneh, PhD

School of Computing Science, Associate Professor

Medical Image Analysis Lab,  Co-founder/director

IEEE Senior Member and ACM Senior Member

Personal homepage: http://www.cs.sfu.ca/~hamarneh

Lab homepage: http://mial.cs.sfu.ca

Office: Technology and Science Complex (TASC): 9417

Tel: +1.778.782.3007

VOIP: +1.778.782.2214

Fax: +1.778.782.3045

Postal Address: 

School of Computing Science, Simon Fraser University,

8888 University Drive, Burnaby, BC  V5A 1S6, Canada

v-card: http://www.cs.sfu.ca/~hamarneh/GhassanHamarneh.vcf

[Imageworld] 2nd CFP: Workshop on Deep Hierarchies in Vision

Please circulate freely.

=====================
2nd Call for papers:
=====================

Workshop on Deep Hierarchies in Vision 
(in conjunction with CogSys2012 - 5th Int. Conf. on Cognitive Systems)
Webpage: http://www.kovan.ceng.metu.edu.tr/~sinan/DHV/

=> February 21, 2012; Vienna-Austria <=

Organizers: Ales Leonardis, Norbert Krueger, Richard Bowden, Sinan Kalkan, Nicolas Pugeault, Frank Guerin
Webpage for the 5th Int. Conf. on Cognitive Systems: http://cogsys2012.acin.tuwien.ac.at/

=====================
Overview:
=====================

Processing in the brain in general and visual processing in particular is organized in a hierarchical fashion, from simple localized features to complex, large scale features. The visual system consists of a hierarchy, in which neurons in early visual areas extract simple image features (orientation, motion, disparity) over a small local region of visual space, which are then transmitted to neurons in higher visual areas responding to more complex features (e.g. shape) over a larger region of visual space. Hierarchical representations can derive and organize features at multiple levels. Hierarchical representations with many levels are called 'deep hierarchies'. They build on top of each other by exploiting the shareability of features among more complex compositions or objects themselves. Sharing features, on the one hand, means sharing common computations, which brings about (highly desirable) computational efficiency. On the other hand, reusing the commonalities between objects' models places their representations in relation to other objects, thus leading to high generalization capabilities and lower storage demands.

However, although all neurophysiologic evidence suggests that in the human visual system quite a number of levels are realized, it has turned out that the design and/or learning of such deep hierarchical systems is a very difficult task. Most existing computer vision systems are 'flat' (e.g., having rather simple features - such as SIFT - as input and then applying some kind of SVM learning) and hence cannot make use of the advantages connected to deep hierarchies. Here in particular the generalization capabilities are crucial for any form of cognitive intelligence. As a consequence, we see the issue of establishing deep hierarchies as one major challenge for the establishment of truly cognitive systems. 

The aim of the workshop is to bring together researchers from vision, robotics, machine learning, artificial intelligence, and neurophysiology to discuss existing obstacles in the design of deep hierarchies, possible solutions as well as perspectives for deep hierarchies in vision and robotics.

A special issue with contributions from the workshop on 'Deep Hierarchies in Vision' in a journal is planned. 

=====================
Invited speakers:
=====================

Christian Igel
The Image Group,
University of Copenhagen, Denmark

Justus Piater
Department of Electrical Engineering and Computer Science
University of Innsbruck, Austria

Laurenz Wiskott
Institut für Neuroinformatik
Ruhr-Universität Bochum, Germany

Peter Janssen
Division of Neurophysiology
Katholieke Universiteit Leuven, Belgium

=====================
Submission:
=====================

We invite two-page extended abstracts until the 1st of December, 2011. We provide a Latex template for two-page extended abstracts at: 
http://www.kovan.ceng.metu.edu.tr/~sinan/DHV/.

Please follow this template and submit a PDF file online at our workshop website. The submissions will be reviewed by three reviewers, and the decisions will be announced by the 20th of December, 2011. A special issue with contributions from the workshop on 'Deep Hierarchies in Vision' in a journal is planned. 

=====================
Important Dates:
=====================

Abstract Submission: 01.12.2011 (23:59 UTC/GMT)
Notification of Acceptance: 20.12.2011
Camera-ready Submission: 15.01.2012
Workshop: 21.02.2012

=====================
Program Co-chairs:
=====================

Laurenz Wiskott
Institut für Neuroinformatik
Ruhr-Universität Bochum, Germany

Peter Janssen
Division of Neurophysiology
Katholieke Universiteit Leuven, Belgium

=====================
Contacts:
=====================

Ales Leonardis, ales.leonardis@fri.uni-lj.si 
Norbert Krueger, norbert@mmmi.sdu.dk
Sinan Kalkan, skalkan@ceng.metu.edu.tr

--
Sinan KALKAN, Asst. Prof.
Dept. of Computer Engineering
Middle East Technical University
Ankara TURKEY
Web: http://kovan.ceng.metu.edu.tr/~sinan
Tel:  + 90 - 312 - 210 5547  / + 90 - 312 - 210 7371
Fax: + 90 - 312 - 210 5544

[Imageworld] 1st CFP: Medical Image Understanding and Analysis

16th Conference on Medical Image Understanding and Analysis

9 - 11 July 2012, Swansea, United Kingdom

miua2012.swansea.ac.uk

SCOPE

This 16th annual technical meeting will be hosted in Swansea in 2012. MIUA is the principal UK forum for communicating research progress within the community interested in image analysis applied to medicine and related biological science. It has been a successful series begun in Oxford in 1997. The meetings are designed for the dissemination and discussion of research in medical image understanding and analysis, an expanding area in which significant advances are currently being made. It is an area notable for the range of research communities involved, and the meeting aims to encourage the growth and raise the profile of this multi-disciplinary field by bringing together the various communities.

MIUA 2012 is a single-track conference with oral and poster presentations. All accepted contributions will be published and the full proceedings will be available to delegates at the conference. Selected papers are also likely to be published in the on-line journal Annals of the BMVA.

This 2012 edition adopts a new format: we are organising a half day conference tutorial, which is particularly beneficial to research students and early career researchers working in the field. More details will be available shortly on conference website.

TOPIC OF INTEREST

The meetings are designed for the dissemination and discussion of research in medical image understanding and analysis, and aims to encourage the growth and raise the profile of this multi-disciplinary field by bringing together the various communities, including

• Cardiac Imaging 

• Novel Imaging Methods 

• Computer-Aided Pathology 

• Oncology 

• Computer-Aided Radiology 

• Ophthalmology 

• Computer Assisted Surgery 

• Positron Emission Imaging 

• Dermatology 

• Radiology 

• Image Guided Intervention 

• Surgery 

• Magnetic Resonance Imaging 

• Tissue Perfusion 

• Neurology 

• Ultrasound

Technical contributions are sought in all relevant areas including, but not limited to, the following:

• Analysis of Cellular Images 

• Analysis of Time Series 

• Analysis of Functional Images 

• Artificial Intelligence in Imaging 

• Cardiac Imaging 

• Computer-Aided Pathology 

• Computer-Aided Radiology 

• Computer Assisted Surgery 

• Data Fusion 

• Decision Support 

• Human Computer Interaction 

• Image Interpretation 

• Image Guided Intervention 

• Image Perception 

• Image Registration 

• Intelligent Imaging Systems 

• Motion Analysis 

• Multi Modality 

• Novel Imaging Methods 

• Quantitative Image Analysis 

• Segmentation/Classification 

• Shape Analysis 

• Statistical Methods in Imaging 

• Systematic Testing & Validation 

• Texture Analysis 

• Tissue Perfusion 

• Virtual Reality 

• Visualisation 

KEYNOTE SPEAKERS

MIUA invites two to three prominent researchers in this field to present their work at the conference. We are grateful to the following two speakers who have already agreed to give keynote lectures at the MIUA 2012 conference.

Prof. Alison Noble

Oxford University, United Kingdom

Professor Alison Noble FREng is a Statutory Professor of Biomedical Engineering in the Oxford University Department of Engineering Science and a Fellow of St Hilda's College, Oxford. She is a Senior Member of the IEEE, a Fellow of the IET, and a Fellow of the Royal Academy of Engineering. She is a Director of the Biomedical Image Analysis (BioMedIA)Laboratory, a multi-disciplinary research group working in the area of biomedical imaging and image analysis, a subarea of biomedical engineering. The laboratory is based in the Oxford Institute for Biomedical Engineering (IBME), part of the Department of Engineering Science, which opened in January 2008 and is the hub for biomedical engineering at Oxford.

(more detailed speaker biography available on conference website)

Prof. Ge Wang

Virginia Tech, USA

Prof. Ge Wang has been working in two imaging areas - x-ray computed tomography (CT) and optical molecular tomography. He is the founding editor-in-chief and associate editors for specialty journals as well as the leading guest editor for three IEEE Trans. Medical Imaging special issues on x-ray CT, molecular imaging, and compressive sensing respectively. He received awards and recognitions such as Fellow of IEEE, SPIE, AIMBE and OSA. To date, he has attracted >$15M of funding as PI/Contact PI, and >$20M as Co-PI/Co-investigator. Prof. Wang and his co-authors published >280 journal papers. He is the Director of the SBES Biomedical Imaging Division since 2006, which is also the ICTAS Center for Biomedical Imaging.

(more detailed speaker biography available on conference website)

CONFERENCE TUTORIAL

MIUA 2012 is going to organise a half day tutorial on the 9th July 2012. The tutorial is particularly beneficial to research students and early career researchers who are working in this field. More details will be available shortly on conference website.

IMPORTANT DATES

Technical paper submission: 12 March 2012

Challenge abstract submission: 12 March 2012

Notification of acceptance: 7 May 2012

Camera ready paper submission: 21 May 2012

Conference tutorial: 9 July 2012

Main conference: 10 - 11 July 2012

PAPER SUBMISSION

Technical Papers (6 pages) are solicited on any topic within the scope of the conference. Each paper will be evaluated by three reviewers. Challenge Abstracts (1 page) are also solicited. These should outline a challenge to the image analysis community from a clinical or end-user perspective.

MIUA operates a double-blind review process. Your review submission must not identify you as the author. MIUA does allow for dual submission of manuscript contents, typically with conferences such as IPMI, MICCAI and ISBI. The authors should indicate in their summary statements where else the work has been submitted for publication and to what extent the MIUA paper overlaps the dual submission.

Paper submission instructions and submission website are available at the conference website: http://miua2012.swansea.ac.uk

CONFERENCE CHAIR

Xianghua Xie

Swansea University, United Kingdom

CONTACT

miua2012@swansea.ac.uk

-- 
Dr. Xianghua Xie (Jason)
Research Council UK Academic Fellow | Tel  : ++44 (0)1792602916
University of Swansea                                | Fax  : ++44 (0)1792295708
Department of Computer Science            | Email: x.xie@swansea.ac.uk
Faraday Tower, Singleton Park                |
Swansea SA2 8PP, UK                              | URL  : www.cs.swan.ac.uk/~csjason