[Imageworld] ICIAR 2012: Announcement and Call for papers (Aveiro, Portugal)

 

==========================================================

ANNOUNCEMENT AND CALL FOR PAPERS

==========================================================

 

ICIAR 2012 - 9th INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND RECOGNITION

    June 25-27, 2012

    Aveiro, Portugal

 

General Chair:

    Aurelio Campilho

    University of Porto, Portugal

    http://www.fe.up.pt/~campilho

 

General Co-Chair:

    Mohamed Kamel (IEEE and IAPR Fellow)

    University of Waterloo, Canada

    http://pami.uwaterloo.ca/kamel.html

 

Conference Website:

    http://www.iciar.uwaterloo.ca/iciar12/

 

Papers due:

    January 20, 2012

 

==========================================================

ICIAR 2012 is the 9^th conference of a series of ICIAR conferences organized in Portugal and Canada. Authors are invited to submit full papers showing original research contributions. The page limit is 8 pages (1-column), plus 2 extra pages.

 

Focused Topic: BIOMEDICAL IMAGING
Starting with ICIAR 2012, one of the days of the conference will be focused in a special topic. In 2012 the focused topic will be "BIOMEDICAL IMAGING". The sessions will comprise invited keynote speakers, oral and poster presentations and a panel discussion. Authors are invited to submit full papers under this topic, addressing original research developments.

 

The conference proceedings will be published in the Springer Lecture Notes in Computer Science series. ICIAR series is organized annually, alternating between Europe and North America. ICIAR 2012 will be held in Aveiro, Portugal.

 

==========================================================

INVITED SPEAKERS

==========================================================

. Bob Fisher (School of Informatics, Edinburgh University, UK), “Applications of 3D sensing to novel problems”

 

. Wiro Niessen (Erasmus MC Rotterdam, Delft University of Technology, NL), “Quantitative imaging biomarkers of cardiovascular and neurodegenerative disease”

 

. Bioucas Dias (Telecommunications Institute, Instituto Superior Técnico, PT), “Hyperspectral image processing”

 

==========================================================

TOPICS

==========================================================

 

. BIOMEDICAL IMAGING (focused topic)

· Image and Video Processing and Analysis:

    Image restoration and enhancement

    Image and video segmentation

    Mathematical morphology

    Color, texture and motion analysis

    3D image analysis

    Tracking

    Shape and matching

    Real time imaging

 

· Image and Video Coding:

    Still image and video coding;

    Image and video encryption

 

· Image Retrieval and Indexing:

    Image and video databases

    Image and video retrieval and indexing

 

· Pattern Recognition Methods:

    Feature extraction and selection methods

    Classification and Clustering techniques

    Ensembles and multi-classifiers

    Hybrid methods

    Syntactical methods

 

· Applications:

    Biometrics

    Document Processing

    Remote Sensing

    Multimedia

    Security Systems

    Visual Inspection

    Sports

    Other applications

 

==========================================================

PAPER SUBMISSION

==========================================================

Authors are invited to submit full papers showing original research contributions. The conference proceedings is planned to be published in the Springer Lecture Notes in Computer Science series (Springer LNCS).

 

Only electronic submission will be accepted through the conference paper submission web page. See the conference web site for details.

 

==========================================================

SPECIAL SESSIONS

==========================================================

 

Proposals for special invited sessions are welcome, however all papers will go through the normal review process. The proposed sessions must include a title, contact information for the session chair(s) and their short bio's, and a list of authors already contacted or to be contacted.

 

Proposals should be submitted to the conference chairs not later than December 19, 2011.

 

==========================================================

IMPORTANT DATES

==========================================================

 

Special session proposals deadline: December 19, 2011

Paper Submission deadline: January 20, 2012

Author Notification: February 29, 2012

Camera-ready version: March 17, 2012

Paper registration: April 13, 2012

 

==========================================================

 

Please find the call for papers and more information at the conference website:

 

    http://www.iciar.uwaterloo.ca/iciar12

 

 

 

Aurélio Campilho

Professor

Universidade do Porto, Faculdade de Engenharia

Instituto de Engenharia Biomédica

Rua Dr. Roberto Frias, sn

4200-465 Porto, Portugal

www.fe.up.pt/~campilho

 

[Imageworld] CfP: Machine Graphics and Vision, International Journal - Special Issue on Motion Capture Systems for Analysis of Human Gait

* CALL FOR PAPERS * 

MACHINE GRAPHICS & VISION, INTERNATIONAL JOURNAL 

 

wishes to invite scientists and researchers to submit articles for the Special Issue on: 
 

MOTION CAPTURE SYSTEMS FOR ANALYSIS OF HUMAN GAIT AND THEIR MEDICAL AND BIOMETRIC APPLICATIONS 

 
      Motion capture (MOCAP) systems have been widely used in many fields of applications including clinical  analysis, sports, biometrics, arts, entertainment, computer games, military applications and many others. Extremely wide range of applications makes the field of motion capture systems splitting into more specialized areas. There is a need of creating fields of discussions and opinion exchange in all specific areas of applications of MOCAP systems. 
 
      Analysis of human gait belongs to central fields of applications of MOCAP systems. The purpose of the special issue on MOTION CAPTURE SYSTEMS FOR ANALYSIS OF HUMAN GAIT AND THEIR MEDICAL AND BIOMETRIC APPLICATIONS is to encourage and promote publication of results of original researches as well as survey papers in this area.
 
Submissions are expected to deal with motion capture systems for the analysis of human gait. Examples of topics of interest are:
- Analysis of dynamics of human motion
- Human skeletal models and their estimation
- Applications of human motion capture systems to person identification
- Diagnosis of gait abnormalities based on motion capture systems
- Multichannel systems for capturing of human motion
Topics of submitted papers are not limited to the areas specified above. Contributions in other areas related to the analysis of human gait and applications, are also invited.
 
IMPORTANT DATES
Paper submission deadline December 16, 2011
Notifications of the first round of reviews January 22, 2012
Deadline of the revised submissions February 19, 2012
Final decisions for all the accepted papers March 4, 2012
Publication of the special issue March 31, 2012
 
PAPER SUBMISSION
Prospective authors should submit high quality and original contributions that have not appeared, nor are under consideration, in any other journals.
 
Submissions should follow the guidelines of MACHINE GRAPHICS & VISION, INTERNATIONAL JOURNAL, which can be found at: 

http://www.ippt.gov.pl/~zkulpa/MGV/MGV.html 

 

GUEST EDITORS
Andrzej Polański, Polish-Japanese Institute of Information Technology, Poland,
Caroline Stewart Robert Jones and Agnes Hunt Orthopaedic and Distric Hospital, ORLAU, Oswestry, UK,
Małgorzata Syczewska, The Children’s Memorial Health Institute, Poland,
Konrad Wojciechowski, Polish-Japanese Institute of Information Technology, Poland.

[Imageworld] Program: 1st IEEE Workshop on Modeling, Simulation and Visual Analysis of Large Crowds (with ICCV 2011)

=====================================================================================

1st IEEE Workshop on Modeling, Simulation and Visual Analysis of Large Crowds

in conjunction with 13th International Conference on Computer Vision (ICCV)
November 7, 2011, Barcelona, Spain
=====================================================================================


------------------------------------------
Session I

8:50am - 9:00am       Welcome

9:00am - 9:45am       Keynote Talk: Walking With Crowds
                               Prof. Luc Van Gool

9:45am - 10:10am     MCMC-Based Tracking and Identification of Leaders in Groups
                               Avishy Y. Carmi, Lyudmila Mihaylova, Francois Septier, Sze Kim Pang, Pini Gurfil and Simon J. Godsill

10:10am - 10:35am   Everybody Needs Somebody: Modeling Social and Grouping Behavior on a Linear Programming Multiple People Tracker
                               Laura Leal-Taixe, Gerard Pons-Moll and Bodo Rosenhahn

10:35am - 11:00am   Coffee Break

------------------------------------------   
Session II

11:00am - 11:45am     Keynote Talk: Quantitative Verification of Crowd Models
                                 Prof. Dr. Armin Seyfried

11:45am - 12:10pm     Virtual Tawaf: A Case Study in Simulating the Behavior of Dense, Heterogeneous Crowds
                                 Sean Curtis, Stephen J. Guy, Basim Zafar, and Dinesh Manocha

12:10am - 12:35pm     Lane Formation in a Microscopic Model and the corresponding Partial Differential Equation
                                 Jan-Frederik Pietschmann, Barbel Schlake

12:35pm - 1:00pm      Analyzing Pedestrian Behavior in Crowds for Automatic Detection of Congestions
                                Barbara Krausz, Christian Bauckhage

1:00pm - 2:15pm       Lunch Break
   
------------------------------------------
Session III

2:15pm - 3:00pm     Keynote Talk: Modeling a Crowd of Groups: Multidisciplinary and Methodological Challenges
                              Prof. Stefania Bandini

3:00pm - 3:25pm     T-Junction: Experiments, Trajectory Collection, and Analysis
                              Maik Boltes, Jun Zhang, Armin Seyfried, Bernhard Steffen

3:25pm - 3:50pm     Calibrating Dynamic Pedestrian Route Choice with an Extended Range Telepresence System
                              Tobias Kretz, Stefan Hengst, Vidal Roca, Antonia Perez Arias, Simon Friedberger, and Uwe D. Hanebeck

3:50pm - 4:15pm     Optimizing Interaction Force for Global Anomaly Detection in Crowded Scenes
                              R. Raghavendra, Alessio Del Bue, Marco Cristani, Vittorio Murino

4:15pm - 4:45pm     Coffee Break
   
------------------------------------------
Session IV

4:45pm - 5:30pm     Keynote Talk: Virtual Vision: Computer Vision in Virtual Reality
                              Prof. Demetri Terzopoulos

5:30pm - 5:50pm     Integrating Pedestrian Simulation, Tracking and Event Detection for Crowd Analysis
                              Matthias Butenuth, Florian Burkert, Angelika Kneidl, André Borrmann, Florian Schmidt, Stefan Hinz, Beril Sirmacek

6:00pm - 7:00pm     Panel Discussion
------------------------------------------

Visit workshop website to find out more details:
http://server.cs.ucf.edu/~vision/ICCVWorkshop/program.html


Hope to see you all at the workshop.

best
Program Committee

[Imageworld] Postdoc opening in Lab for Computational Imaging and Bioinformatics at 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@rci.rutgers.edu, with subject line "PDF/RSP: (your name)".  For more information please email Prof. Madabhushi (anantm@rci.rutgers.edu). New Jersey offers an outstanding  environment for research and professional opportunities for growth and collaboration, including the largest medical center in the country.

RU is an equal employment opportunity employer and smoke-free environment. Women and minority candidates are strongly encouraged to apply.

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@rci.rutgers.edu

--  Anant Madabhushi, PhD Associate Professor Dept. of Biomedical Engineering Rutgers The State University of New Jersey Member, Cancer Institute of New Jersey Adjunct Assistant Professor of Radiology, UMDNJ Piscataway, NJ 08854 Tel: 732-445-4500 (x 6213) Fax: 732-445-3753 E-mail: anantm@rci.rutgers.edu Admin Assist: Rhonda Breene-Simone (Tel: x 6220) URL: http://lcib.rutgers.edu/~anantm Lab URL: http://lcib.rutgers.edu/ Lab Twitter: www.twitter.com/RutgersLCIB

[Imageworld] ICIAR 2012: Announcement and Call for papers

==========================================================

ANNOUNCEMENT AND CALL FOR PAPERS

==========================================================

 

ICIAR 2012 - 9th INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND RECOGNITION

    June 25-27, 2011

    Aveiro, Portugal

 

General Chair:

    Aurelio Campilho

    University of Porto, Portugal

    http://www.fe.up.pt/~campilho

 

General Co-Chair:

    Mohamed Kamel (IEEE and IAPR Fellow)

    University of Waterloo, Canada

    http://pami.uwaterloo.ca/kamel.html

 

Conference Website:

    http://www.iciar.uwaterloo.ca/iciar12/

 

Papers due:

    January 20, 2012

 

==========================================================

ICIAR 2012 is the 9^th conference of a series of ICIAR conferences organized in Portugal and Canada. Authors are invited to submit full papers showing original research contributions. The page limit is 8 pages (1-column), plus 2 extra pages.

 

Focused Topic: BIOMEDICAL IMAGING
Starting with ICIAR 2012, one of the days of the conference will be focused in a special topic. In 2012 the focused topic will be "BIOMEDICAL IMAGING". The sessions will comprise invited keynote speakers, oral and poster presentations and a panel discussion. Authors are invited to submit full papers under this topic, addressing original research developments.

 

The conference proceedings will be published in the Springer Lecture Notes in Computer Science series. ICIAR series is organized annually, alternating between Europe and North America. ICIAR 2012 will be held in Aveiro, Portugal.

 

==========================================================

INVITED SPEAKERS

==========================================================

. Bob Fisher (School of Informatics, Edinburgh University, UK), “Applications of 3D sensing to novel problems”

 

. Wiro Niessen (Erasmus MC Rotterdam, Delft University of Technology, NL), “Quantitative imaging biomarkers of cardiovascular and neurodegenerative disease”

 

. Bioucas Dias (Telecommunications Institute, Instituto Superior Técnico, PT), “Hyperspectral image processing”

 

==========================================================

TOPICS

==========================================================

 

. BIOMEDICAL IMAGING (focused topic)

· Image and Video Processing and Analysis:

    Image restoration and enhancement

    Image and video segmentation

    Mathematical morphology

    Color, texture and motion analysis

    3D image analysis

    Tracking

    Shape and matching

    Real time imaging

 

· Image and Video Coding:

    Still image and video coding;

    Image and video encryption

 

· Image Retrieval and Indexing:

    Image and video databases

    Image and video retrieval and indexing

 

· Pattern Recognition Methods:

    Feature extraction and selection methods

    Classification and Clustering techniques

    Ensembles and multi-classifiers

    Hybrid methods

    Syntactical methods

 

· Applications:

    Biometrics

    Document Processing

    Remote Sensing

    Multimedia

    Security Systems

    Visual Inspection

    Sports

    Other applications

 

==========================================================

PAPER SUBMISSION

==========================================================

Authors are invited to submit full papers showing original research contributions. The conference proceedings is planned to be published in the Springer Lecture Notes in Computer Science series (Springer LNCS).

 

Only electronic submission will be accepted through the conference paper submission web page. See the conference web site for details.

 

==========================================================

SPECIAL SESSIONS

==========================================================

 

Proposals for special invited sessions are welcome, however all papers will go through the normal review process. The proposed sessions must include a title, contact information for the session chair(s) and their short bio's, and a list of authors already contacted or to be contacted.

 

Proposals should be submitted to the conference chairs not later than December 19, 2011.

 

==========================================================

IMPORTANT DATES

==========================================================

 

Special session proposals deadline: December 19, 2011

Paper Submission deadline: January 20, 2012

Author Notification: February 29, 2012

Camera-ready version: March 17, 2012

Paper registration: April 13, 2012

 

==========================================================

 

Please find the call for papers and more information at the conference website:

 

    http://www.iciar.uwaterloo.ca/iciar12

 

 

 

Aurélio Campilho

Professor

Universidade do Porto, Faculdade de Engenharia

Instituto de Engenharia Biomédica

Rua Dr. Roberto Frias, sn

4200-465 Porto, Portugal

www.fe.up.pt/~campilho

 

[Imageworld] AHCI Special Issue CfP: Vision-Based Interaction

Call for Papers

Advances in Human-Computer Interaction Special Issue on Vision-based Interaction

http://www.hindawi.com/journals/ahci/osi/

We invite investigators to contribute original research and review articles to achieve a deeper understanding of how recognized visual information is best utilized for interaction purposes. 

This special issue aims to go beyond the state of the art in vision-based interaction; this includes an understanding of how vision-based interfaces would fit into user activities in different contexts. In this sense, we are interested in applications of vision-based interaction where function is evaluated in terms of the user goals, system efficiency, and integration. 

Topics:

- Applications of vision-based interaction (vision-based interaction games for rehabilitation, vision-based applications for accessibility, vision-based interaction for entertainment, vision-based interaction in advertising, vision-based interaction in formats such as desktop applications, large displays, and mobile devices)

- Conceptual frameworks for developing vision-based interaction (or interaction design for vision-based applications, what are the best human gestures for interacting with computer applications?)

- Human motion analysis in the context of HCI (what human motions can be recognized in real time? How to recognize human gestures from human motions?)

- Affective computing for interaction (how to recognize the user affective state form the visual information? How this affect recognition can be used for interacting with computers?)

- Integration of context in vision-based interaction applications (how the application context can be used in order to define the interaction design? How the context information can be used to recognize human motions?)

- Specifications, performance metrics, and test methodologies for usability evaluation of vision-based interaction (how to evaluate the usability of vision-based interaction applications?)

Important Dates:

Manuscript Due:  17 February 2012

First Round of Reviews: 18 May 2012

Publication Date: August 2012

Editors:

Javier Varona 

Thomas B. Moeslund

Ann Morrison

[Imageworld] Postdoctoral Position: Distance Learning For Person Recognition

Postdoctoral Position: Distance Learning For Person Recognition

The Computer Vision group of the University of Caen (France) and the LEAR group at INRIA Grenoble, Rhone-Alpes (France) are opening a postdoctoral position. The candidate will be jointly supervised and will spend time in both institutions (http://lear.inrialpes.fr/; http://www.unicaen.fr/).

Topic: person recognition and re-identification across networks of cameras is an important problem in computer vision and is required for a large number of applications (such as video surveillance). However, despite the effort of the community, person re-identification is still a challenging problem: the same person can look very differently according to his posture or the camera position, while the difference between two different persons can be small. The goal of this project is to develop algorithms for finding occurrences of the same persons in huge collections of video surveillance images. The key issue is to learn distance functions from the training data, which embed visual information. This research will build on papers such as "Is that you? Metric learning approaches for face identification", G. Matthieu, V. Jakob and Schmid Cordelia, ICCV 2009" and "Randomized Clustering Forests for Image Classification", F Moosmann, E Nowak and F Jurie, PAMI 2008.

Start date: As soon as possible.

Location: The student will be located at the Computer Vision group at the University of Caen, and will spend approximately a 1 week every 2 months at the INRIA Grenoble research center.

Contacts:
Prof. Frederic Jurie, frederic.jurie@unicaen.fr
Res. Dir. Cordelia Schmid, cordelia.schmid@inrialpes.fr

Profile:
* Recent PhD (preferably in Computer Science, computer vision, machine learning or Applied Mathematics)
* Solid programming skills; the project involves programming in Matlab and C++
* Solid mathematics knowledge (especially linear algebra and tatistics)
* Creative and highly motivated
* Fluent in English, both written and spoken
* Prior knowledge in the areas of computer vision, machine learning or data mining is a plus (ideally a Master thesis in a related field)

Please send applications via email, including:
* a complete CV including a list of publications
* graduation marks as well as rank
* the name and email address of three references

Applications should be sent to Frederic Jurie (frederic.jurie@unicaen.fr).

Applicants can be asked to do a short assignment in order to demonstrate their research abilities.

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[Imageworld] Computer Vision open positions@unibe Phd& PostDoc

2 open positions@unibe:
1 PhD Student Position in 3D-Model Reconstruction and Computer Vision
1 Post-Doc Researcher Position in Computer Vision and Machine Learning


PhD Student Position in 3D-Model Reconstruction and Computer Vision
Open position for a PhD student in the area of 3D-model reconstruction and computer vision.
This position is for an Early Stage Researcher in the project GoCARB - Type 1 Diabetes Self-
Management and Carbohydrate Counting: A Computer Vision based Approach, a Marie
Curie Industry-Academia Partnerships and Pathways grant funded by the European
Commission's Seventh Framework Programme.
The aim of GoCARB is the design, development and evaluation of a system which will permit
the automatic, near real-time recognition of the different types of foods on a plate and the
estimation of their content of carbohydrates. In addition, this information will be used to
optimise the calculation of the bolus insulin dose. The ultimate objective is to have an
application running on a portable device which can be used in everyday life to support the
diabetic patient during carbohydrate counting and insulin dose estimation in a precise, easy
and flexible manner. GoCARB involves two European partners (1 university and 1 industrial
partner) and one associated partner (1 industrial partner).
Description
The candidate will be part of the Diabetes Technology Research group and will work with a
team of engineers, computer scientists, physicians and nutritionists on the development and
evaluation of the application, which will permit the detection and recognition of food on the
plate and the estimation of the corresponding carbohydrate content.
The candidates need to have background and interest in computer science with emphasis in
computer graphics and 3D reconstruction from images and video. They must have strong
interest to perform excellent research in a multidisciplinary environment. The candidates must
have a university degree (M.Sc. level) in electrical and computer engineering or computer
science. In addition, they must have background in mathematics and computer programming.
Applicants may not have resided in Switzerland for more than 12 months in the last 36 months
(Marie Curie eligibility rule). The candidate will be affiliated with the University of Bern as PhD
student. The position is funded for three years and a two-year secondment in Germany is
scheduled.
Applications should include a letter of interest, a detailed curriculum vitae, and two letters of
recommendation. The review of applications will begin at the end of November and the search
will continue until the position is filled.
Research Fields
Engineering – Electrical and Computer Engineering; Engineering – Software Engineering;
Computer Science
Language Requirements
English - Excellent
Starting Date
Mid-January 2012
Comments
For application contact: Prof. Stavroula Mougiakakou, stavroula.mougiakakou@artorg.unibe.ch

Post-Doc Researcher Position in Computer Vision and Machine Learning
Open position for a Post-Doc researcher in the area of computer vision and machine learning
at the University of Bern. This position is funded for two years (24 months), as part of the
project GoCARB - Type 1 Diabetes Self-Management and Carbohydrate Counting: A
Computer Vision based Approach, a Marie Curie Industry-Academia Partnerships and
Pathways grant funded by the European Commission's Seventh Framework Programme.
The aim of GoCARB is the design, development and evaluation of a system which will permit
the automatic, near real-time recognition of the different types of foods on a plate and the
estimation of their content of carbohydrates. In addition, this information will be used to
optimise the calculation of the bolus insulin dose. The ultimate objective is to have an
application running on a portable device which can be used in everyday life to support the
diabetic patient during carbohydrate counting and insulin dose estimation in a precise, easy
and flexible manner. GoCARB involves two European partners (1 university and 1 industrial
partner) and one associated partner (1 industrial partner).
Description
The selected researcher will be part of the Diabetes Technology Research group and will
work with a team of engineers, computer scientists, physicians and nutritionists on the
development and evaluation of the application, which will permit the detection and recognition
of food on the plate and the estimation of the corresponding carbohydrate content.
The candidates need to have strong background and experience in computer vision and
machine learning and to show outstanding commitment to multidisciplinary research. The
candidates must have already obtained a doctorate (PhD) in computer vision and have a
strong publication record. Applications should include a letter of interest, a detailed curriculum
vitae, two letters of recommendation and at least one recent research paper. The review of
applications will begin at the end of November and the search will continue until the position is
filled.
Please note that, according to the EC guidelines, the selected researcher must not has resided
or carried out his/her main activity (work, studies, etc.) in Switzerland for more than 12 month s
in the 3 years immediately prior to the date of selection by the University of Bern.
Research Fields
Engineering - Computer Engineering
Computer Science
Language Requirements
English - Excellent
Starting Date
February 2012
Comments
For application contact: Prof. Stavroula Mougiakakou, stavroula.mougiakakou@artorg.unibe.ch

[Imageworld] PhD position in computer vision/ubiquitous computing, USI (Switzerland)

The Geometric and Visual Computing and the Ubiquitous Computing labs
in the Faculty of Informatics, University of Lugano (Switzerland) have
an open PhD position for a joint project on attentive public displays
supported by the Hasler foundation.

Prospective candidates should have experience in in computer vision,
computer graphics, machine learning, or ubiquitous computing. Good
mathematical background and excellent programming skills in
MATLAB/C/C++ are required. Publication track record (especially in top
conferences) is an advantage.

Successful candidate will be offered highly competitive salary.

To apply, please email to michael.bronstein@usi.ch
- a CV + list of publications,
- email addresses of at least two references,
- brief description of research interests.
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[Imageworld] CfP-3: Pattern Recognitio​​n Letters Special issue on Extracting Semantics from Multi-Spec​trum Video

Extracting Semantics from Multi-Spectrum Video
 
Special issue on the Pattern Recognition Letters(http://www.elsevierscitech.com/cfp/PRL_SI_ESMSV_CFP.pdf)
 
Call for Papers
 
Aim and Scopes:
 
Recent advances in imaging, networking, data processing and storage technology have resulted in an explosion in the use of multi-spectrum image/video in a variety of fields, including video surveillance, urban monitoring, cultural heritage area protection and many others. The integration of videos from multiple channels can provide complementary information and therefore increase the accuracy of the overall decision making process. A typical example is the usage of a hybrid vision system for video surveillance application, which usually consists of omnidirectional, perspective and infrared cameras. Such a system takes advantage of a large view scope from omnidirectional cameras, richer textural information from perspective cameras and better image quality in the dark environment from infrared cameras. However, the benefit of multi-spectrum video fusion always comes with a certain cost and complexity in the analysis process due to the fact that the involved modalities have different characteristics. One of the challenges of such systems is that they need to strike a balance between two opposing requirements. On the one hand, the more pronounced the independence between the different modalities, the more complementary the information that can be gleaned from each of them. On the other hand, there need to be a sufficient amount of correlation in order to be able to link features in one modality to that in the others. To effectively utilize multi-spectrum images/videos in a system, considerable research has been developed to solve various problems in this field during the last decade. Unfortunately, most existing techniques are still heuristic-based, which have not yet been smart and efficient enough. For example, a widely used approach is to assign an empirical weight for each individual modality, and the final decision is made based on summing up the decision from each modality. It lacks theories to answer several fundamental questions: 1) what are the best modality in certain situations? 2) How can we measure the dependency among the videos from different channels? And, 3) how can we optimally fuse information from multiple modalities?
 This special issue aims at capturing the latest advances of the research community working on multi-spectrum video analysis. We are soliciting original contributions and encouraging the work for (1) novel fundamental techniques, and (2) showcasing robust systems to treat emerging applications. Topics of interest include, but are not limited to:

Ø  Multi-spectrum video acquiring
Ø  Multi-spectrum video synchronization

Ø  Image registration and transformation

Ø  Feature extraction and description

Ø  Multi-spectrum video visualization

Ø  Multi-view video processing

Ø  Sampling and interpolation

Ø  Data fusion

Ø  Decision for semantic interpretation

Ø  Classification and pattern recognition

Ø  Smart camera network

Ø  Multi-spectrum video streaming

Ø  Emerging application
Important Dates:
 
     Submission of full papers                          1. December, 2011
     Notification to authors                               1. April, 2012
     Publication data                                          December, 2012 (tentative)
 
Submission of Manuscripts
Prospective authors should visit http://www.elsevier.org/wps/find/journaldescription.cws_home/505619/authorinstructions for information on paper submission. Authors must submit their papers electronically by using online manuscript submission at: http://ees.elsevier.com/patrec. To ensure that all manuscripts are correctly included into the special issue, it is important that authors select the acronym "ESMSV" of this special issue when they reach the "Article Type" step in the submission process. All papers will be rigorously refereed and will undergo a standard review process of PRL. The length of your manuscript should not exceed 7500 words, including maximal 10 figures/tables.
Submission Period
 
The Elsevier Editorial System will be set to allow authors to upload their manuscripts to ESMSV in the period 15. Oct, 2011 – 1. Dec, 2011.
 
Guest Editors:
Dr. Jungong Han
Centrum Wiskunde & Informatica (CWI),
Amsterdam, The Netherlands
j.han@cwi.nl
 
Dr. Eric Pauwels
Centrum Wiskunde & Informatica (CWI),
Amsterdam, The Netherlands
Eric.Pauwels@cwi.nl
 
Dr. Feng Wu
Microsoft Research Asia,
Beijing, Chinafengwu@microsoft.com

Prof. Peter H.N. de With
Eindhoven University of Technology,
Eindhoven, The Netherlands
P.H.N.de.With@tue.nl

[Imageworld] PhD Studentship in Cardiac Electrophysiology Imaging and Analysis

Inria (Asclepios team, Sophia-Antipolis, France)
and
King's College London  (Division of Imaging Sciences and Biomedical Engineering)

are proposing a joint Phd studentship on

Computational Modeling of Ventricular Tachycardia for Radiofrequency Ablation Planning

The Phd will be carried out both at the Asclepios research group, INRIA, France and at King's College London, UK.

More information about the position is available here :
http://www-sop.inria.fr/asclepios/recrutement/Phd-INRIA-KCL-2011.pdf

[Imageworld] Postdoctoral Position in Neurology-Neuroimaging Analysis

Job Announcement:

Postdoctoral Position in Neurology-Neuroimaging Analysis

DATE of Position Opening: immediately:

Overall description: The Hershey Brain Analysis Research laboratory, Penn State University-Hershey Medical Center, seeks a postdoctoral fellow to participate in multi-disciplinary research activities including development of new algorithms for detecting potential brain pathological changes caused by environment-genetic interactions.  The training experiences will assist you in developing skills to work with a multi-disciplinary team (including neurologists, radiologists, neuroscientists, MR imaging and image analysis experts, and statisticians) in solving clinically relevant, scientifically important problems.

Specific Responsibilities: As a part of a multi-disciplinary team, you will help to identify technology gaps in current solutions, adapt or develop cutting-edge computer vision algorithms, implement innovative solutions for these clinically relevant and scientifically important problems, and design experiments to assess the feasibility of your novel solutions and approaches. Candidate will need to communicate effectively with all team members and other collaborators.  Candidate will be expected to develop independent projects and publish in high quality journals.  

Preferred Skills and Prior Experiences: Doctoral degree in Electrical Engineering, Computer Science, Biomedical Engineering, Applied Mathematics, or related field, with knowledge and experience in Image Processing or Computer Vision algorithm innovation and implementation are preferred.  Prior training in neuroimaging and computational neuroscience will be an asset, as would the experience of developing image analysis algorithms for neuroscience applications. In-depth software skills and experience implementing image processing or computer vision algorithms are essential.

HOW TO APPLY: Please submit an application to xuemei@psu.edu entitled "Neurology-Neuroimaging Postdoc Application" and include a current CV and cover letter with a brief statement of your long-term goals. 

Equal Opportunity Employer.

[Imageworld] Postdoctoral position:Roadway and sidewalk surface reconstruction from 3D laser point clouds.

Postdoctoral position:Roadway and sidewalk surface reconstruction from 3D laser point clouds.

The position will be for 18 months, and will start from 1st of march 2012. Research will be held at the MATIS laboratory of the Institut Géographique National in Saint-Mandé, Paris, France (94).

Deadline: 31 December2011

More information:

http://recherche.ign.fr/labos/matis/pdf/Postdoc_Terramobilita_IGN_MATIS_DTM.pdf

Context 

This PhD will take place within the scope of the large TerraMobilita project (a follower of the TerraNumerica project) of the CapDigital cluster (Business Cluster For Digital Content and Services of the Paris Region) which aims at building production lines to generate automatically and semi-automatically 3D models of roadways and sidewalks for mobility analysis purposes.

 

Subject

The objective of the post doctoral position is to reconstruct fine Digital Terrain Models (DTM) of roadways and sidewalks in dense urban areas from laser point clouds acquired by a mobil emapping system (c.f. Figure 1 in the pdf file). The reconstructed models must be precise and reliable enough in order to identify the practicable trajectories for any kind of mobility such as wheelchair, bicycle, reduced mobility person's vehicles etc.

There are two main challenges in generating such DTMs. The first is to detect and classify the 3D points corresponding to mobile objects such as pedestrians and cars and also static obstacles such as vertical posts, telephone cabins and puddles disturbing the mobility permanently. It leads to an obstacle map. The second challenge is in reconstructing the dual surface namely the free surface. This step has to cope with two problems: occlusions and the residuals of obstacle objects. The process must intelligently propagate the surface inside the occlusion areas and be robust enough to deal with small obstacle residuals.

References 

Frank Moosmann, Oliver Pink, Christoph Stiller. Segmentation of 3D Lidar Data in non-flat Urban Environments using a Local Convexity Criterion. In IEEE Intelligent Vehicles Symposium, pp. 215-220, Xi'an, China, June 2009. 

Michael Himmelsbach, Felix von Hundelshausen, Hans-Joachim Wuensche. Fast Segmentation of 3D Point Clouds for Ground Vehicles. In IEEE Intelligent Vehicles Symposium,pp 560-565, San Diego, CA, USA, June 2010.

 

N. Champion, D. Boldo. A Robust Algorithm for estimating Digital Terrain Models from Digital Surface Models in Dense Urban Areas. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. 36 (Part 3) , Bonn, Germany, 2006.

MATIS laboratory

The MATIS laboratory of the Institut Géographique National (IGN), which is the French national mapping agency, is one of the leading laboratories in photogrammetric computer vision, image analysis and remote sensing applied to geospatial imagery and ground based imagery (e.g., provided by mobile mapping systems). It is composed of 27 researchers, including 16 permanent researchers. The MATIS laboratory has been involved in 3D data collection for 3D city modelling for twenty years, and makes use of several distinct that have been developed during this period.

 

Profile

• The candidate should have a PhD degree in photogrammetry, image processing or computer vision, with knowledge and interest in pattern recognition.
• Good spoken and written English. Knowledge of French would be useful.
• Good knowledge of programming language (C++) is mandatory.
• Prior knowledge and experience in the field of 3D point cloud processing will be an asset.

Location and salary

Research will be held at the MATIS laboratory of the Institut Géographique National in Saint-Mandé, Paris, France (94). 

The wages will be around 2200 € per month. The position will be for 18 month, and may start on March 2012.

 

Contacts

Applications should be sent to both:

• Bahman Soheilian      Phone: 00 33 1 43 98 84 29      E-mail: bahman.soheilian@ign.fr
• Nicolas Paparoditis    Phone: 00 33 1 43 98 83 92      E-mail: nicolas.paparoditis@ign.fr

Applications consist of a cover letter describing how your research experience is relevant to the position, recommendation letters and a detailed CV.

 

Deadline: 31 December 2011