VISION-LIST digest 27.5
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Today's Topics:
JOB : CV SW Development - Cognex - Natick, MA
JOB : Research Eng - Medicsight PLC - London, UK
JOB : MV Scientist - Yotta OMG - UK
JOB : Sr/Principal Software Eng - Cognex - Natick, MA
JOB : IP RD Scientist - UtopiaCompression - Los Angeles, CA
JOB : Image Analyst - UNC - Chapel Hill, NC
JOB : CV Research Programmer - UNC - Chapel Hill, NC
JOB : Postdoc Position - Inria - France
JOB : Post-doctoral Positions - Rensselaer Polytechnic - Troy, NY
JOB : Postdoctoral Fellowship - GE Healthcare - ON, Canada
JOB : Post-doctoral Research Post - Univ Edinburgh - UK
JOB : Post-doctoral Fellowship - Smith-Ketterwell - SF, CA
JOB : Postdoctoral position - Univ Penn - Philadelphia, PA
JOB : PhD position - Ecole des Mines - Paris FR
JOB : PhD Students - UAB - Spain
JOB : PhD position - Univ College London - UK
CFP : Special lssue of IVC Journal on Online Learning - 31AUG2008
CFP : Special Issue Int J Signal Processing - 31OCT2008
CFP : 4th Int Sym Visual Computing - Las Vegas, NV - 21JUL2008
CFP : Optomechatronic CV Systems - San Diego, CA - 01JULY2008
CFP : Facial and Bodily Expressions - Amsterdam - 15JUN2008
CFP : 8th WS Omni Vision an non-classical cams - France - 04JUL2008
CFP : Summer School on PR for Motion - Spain - 7-11JUL2008
----------------------------------------------------------------------
From: "Nsilo-Swai, Asante" <asante.n...@cognex.com>
Subject: JOB : CV SW Development - Cognex - Natick, MA
Cognex is Hiring!!!
Please join us for an Open House
WHEN: Tuesday June 24th, 5:00 PM - 8:00 PM
WHERE: Cognex Corp HQ - One Vision Drive, Natick MA
Cognex Corporation is the worlds leading supplier of machine vision
sensors and systems, or devices that can "see". Companies around the
world rely on Cognex products to automate a variety of tasks that
require vision.
While most companies aim to be the best at what they do, at Cognex we
have a second, equally important goal: to have fun while we work! Our
"work hard, play hard" culture is challenging, stimulating and rewarding.
Please join us and learn more about Cognex and our open positions:
* Meet with hiring managers and explore career opportunities at Cognex
* See live product demonstrations
* Learn about our exciting and unique corporate culture and our "work hard,
play hard" philosophy
PRIZES:
Bring a current copy of your resume and automatically be entered into a
drawing to win a Cannon Powershot Digital Camera. Cognex currently has numerous
full time positions open in
* Software Development (C, C++, C#, Embedded Systems)
* Product Marketing
* Finance
* Administration
For a complete list of all current employment opportunities, visit:
http://www.cognex.com
Cognex is an EEO and AA Employer
------------------------------
From: "Greg Slabaugh" <Greg.S...@medicsight.com>
Subject: JOB : Research Eng - Medicsight PLC - London, UK
Permanent Vacancies - June 2008
Job Title: Scientific R&D Engineer
Salary: Depends on Experience
Department: Research and Development
Reports to: Head of Research and Development
Location: Hammersmith, London, UK
ABOUT MEDICSIGHT PLC
Medicsight are pioneers in the development of enterprise-wide
computer-aided detection (CAD) and other image processing software used
by the medical imaging community to aid in earlier detection of disease.
Medicsight's unique software solutions have been validated using some of
the world's largest and most population-diverse verified CT scan
databases to help clinicians identify, measure and analyse suspicious
pathology of the lung and colon.
The Company's CAD products include ColonCAD, the first CAD technology
available for CT colonography, and LungCAD. Medicsight continues to
develop CAD software and advanced image processing algorithms for a
variety of conditions that can help in the early detection of disease
and ultimately improve patient outcomes.
PURPOSE OF THE POSITION
We are looking for an experienced scientific engineer who can join our
team in research and development of world class medical imaging
applications.
The Scientific R&D Engineer is responsible for
* Performing scientific research into image processing, pattern recognition,
and artificial intelligence algorithms for applications in medical
imaging
* Extending, enhancing, and testing existing algorithms and developing new
ones as libraries for integration and distribution
* Following software engineering principles for code design, review and defect
fixes and relevant procedures for research software development
* Writing and presenting scientific papers for international journals and
conferences
* Maintaining a working knowledge of the state-of-the-art in relevant research
areas
QUALIFICATIONS AND EXPERTISE
Successful candidates will be able to demonstrate all or many of these
key qualities:
* A proven research background in image processing, pattern recognition,
and/or artificial intelligence
* Doctorate in Mathematics, Computer Science or other numerate
discipline
* Advanced research experience in machine learning and classification
preferred
* Knowledge of Matlab, C++, and object-oriented programming
* Understanding of Medical Physics including CT, MRI, and Ultrasound, is
useful
* Ability to deal with steep learning curves and work to tight
timeframes
* Strong team working and communication skills
* Particular preference will be given to candidates with experience in medical
imaging applications, especially Computer Aided Detection (CAD) and Computer
Aided Diagnosis (CADx) tools
Applications/enquiries with detailed CV for the attention of:
Dr. Greg Slabaugh - Head of Research and Development
mailto:car...@medicsight.com , Web: http://www.medicsight.com/
Please note that due to the large number of email applicants it is not
possible for Medicsight to respond to every individual. A representative
from the company will contact you if you have successfully passed to the
interview stage.
------------------------------
From: "Manish Jethwa" <Manish...@yotta.tv>
Subject: JOB : MV Scientist - Yotta OMG - UK
OMG plc
MACHINE VISION SCIENTIST
OMG plc is a leading technology company working in motion capture,
camera tracking and a variety of video analysis applications. The OMG
subsidiary companies Vicon, 2d3 and Yotta sell products into a variety
of markets including medical, visual effects, design, VR, sports science
and the mapping industry. In recent years Vicon and 2d3 products have
been used in almost every major feature film and many games and TV
commercials. The company has offices in UK (Midlands) and the US (LA &
Denver).
A Machine Vision Scientist is sought to join the growing Yotta research
team to work on existing and new algorithms in the UK offices.
JOB DESCRIPTION
* Development of advanced computer vision algorithms for use on real
problems.
* Engineer algorithms in C++ within a large system of algorithm code.
* Support the development of highly interactive Windows, Linux and Web
based products.
* Support the commercial and development activities of Yotta Ltd.
* Competitive Salary Offered
REQUIREMENTS
* Phd or strong Masters in Computer Science or Engineering preferably
with knowledge in Computer Vision, Machine Learning or a related area.
* Highly proficient in C++.
* Experience with Matlab, SQL Databses and scripting languages a plus.
ATTRIBUTES
* Good communication skills, motivated team player.
* Responsible and self directed on short and medium term goals.
* Flexible: an ability to recognise the need to do something and act on
it.
* Experience of developing or using complex and highly interactive
products in areas such as 3D graphics, CAD, games, image processing,
video.
COMPANY
* High tech company
* Relaxed and friendly culture
* Worldwide markets
LOCATION : Leamington Spa, UK
To apply please send CV and cover letter by e-mail to Manish Jethwa
mailto:manish...@yotta.tv
------------------------------
From: "Page, Kristin" <kristi...@cognex.com>
Subject: JOB : Sr/Principal Software Eng - Cognex - Natick, MA
Senior/Principal Software Engineer
Ref # 08-R-68
Location: Natick MA
Job Summary:
We are seeking a talented, enthusiastic software engineer who is
self-motivated, hard working and a team player to join the Vision
Sensors development team. Specifically, this candidate will develop
embedded algorithms on specialized machine vision hardware to produce
next generation machine vision capabilities.
Essential Functions:
1. Investigate, invent and implement world class machine vision algorithms
and applications. Optimize software to solve real-world problems on specialized
machine vision hardware.
2. Work with novel image acquisition and processing flow system design to
solve time-critical applications.
3. Help improve the development tool chain for specialized machine vision
hardware.
4. Develop tools, applications, demos, etc. to support deployment, development,
and testing.
5. Work with a development team consisting of other software and hardware
engineers, and interface to other Cognex business units to capture specifications
for real-world machine vision opportunities.
Knowledge, Skills, and Abilities:
The qualified candidate would possess the following experience:
* M.S. or Ph.D. in machine vision or closely related field
* 5+ years industrial/professional experience in machine vision or
closely related field.
* Experience writing/optimizing machine vision algorithms including
experience with assembly language coding (DSP-based, MMX, etc.)
* 5+ years experience with C/C++.
* Creative, motivated and looking to work hard for an aggressive growth
company.
* Good verbal and written communication skills
------------------------------
From: "Hieu Nguyen" <hi...@utopiacompression.com>
Subject: JOB : IP RD Scientist - UtopiaCompression - Los Angeles, CA
GIS Image Processing R&D SCIENTIST
Company Background
UtopiaCompression Corporation (UC) is developing innovative GIS image
processing (including automatic feature extraction, segmentation,
classification, and compression) algorithms and software tools for
various government and industrial customers. We are seeking an
outstanding candidate for a full-time GIS Image processing R&D Scientist
position.
JOB REQUIREMENTS
The ideal candidate should be well versed in advanced image processing
technologies in the areas of feature extraction, segmentation,
classification, and compression. Familiarity and working experience
with GIS image/data (including LiDAR, DEM, and Aerial images) is
required. Knowledge and experience with the state-of-the-art image
compression technologies is preferred.
The candidate must be fluent in software design, analysis, and
development using C++/C in .NET. Familiarity with ESRI
software/products, Modeling and Simulation software (like SAF), and
visualization software is a plus. The candidate is expected to provide
subject matter expertise: establishing in-depth knowledge and suggesting
directives for further progress on UC's GIS image processing
technologies. The candidate will also actively provide technical
assistance and guidance in preparing proposals, reports, and
presentations for internal and external sources such as government
agencies and business partners.
EDUCATION
MS from a reputed school in computer science, electrical engineering, or
mathematics
------------------------------
From: "Dinggang Shen" <dgs...@med.unc.edu>
Subject: JOB : Image Analyst - UNC - Chapel Hill, NC
A programmer/data analyst position is available in Biomedical Research
Imaging Center (BRIC) at UNC Chapel Hill, for conducting biomedical
image analysis research. The successful applicant will be trained to
work broadly in biomedical image analysis field, and to help integrate
various software packages developed in the research labs. This position
needs to work with a multidisciplinary team on biomedical imaging.
The successful applicant must have a master degree in computer science
or related engineering fields. He/She must be strong in programming,
and familiar with C/C++, Matlab, ITK/VTK, and SPM. Experience with Linux
is highly desired. Knowledge on biomedical imaging, computer vision,
pattern recognition, and image processing is very helpful.
If interested, please send your resume to
Dr. Shen ( mailto:dgs...@med.unc.edu ) and visit UNC IDEA
Group ( http://bric.unc.edu/IDEAgroup/ ) for more information.
------------------------------
From: "Dinggang Shen" <dgs...@med.unc.edu>
Subject: JOB : CV Research Programmer - UNC - Chapel Hill, NC
Programmer / Data Analyst on biomedical Image analysis
A programmer / data analyst position is available in Biomedical Research
Imaging Center (BRIC) at UNC Chapel Hill, for conducting biomedical image
analysis research. The successful applicant will be trained to work broadly
in biomedical image analysis field, and to help integrate various software
packages developed in the research labs. This position needs to work with
a multidisciplinary team on biomedical imaging.
The successful applicant must have a master degree in computer science or
related engineering fields. He/She must be strong in programming, and familiar
with C/C++, Matlab, ITK/VTK, and SPM. Experience with Linux is highly desired.
Knowledge on biomedical imaging, computer vision, pattern recognition, and
image processing is very helpful.
If interested, please send your resume to Dr. Shen ( dgs...@med.unc.edu ),
and visit UNC IDEA Group ( http://bric.unc.edu/IDEAgroup/ ) for more
information.
------------------------------
From: Xavier Descombes <xavier.d...@sophia.inria.fr>
Subject: JOB : Postdoc Position - Inria - France
CONTEXT AND MOTIVATION:
Micro-vascularisation is important for the functionality of healthy or
pathological tissues. It plays a fundamental role in the growth and the
development of tumors, and it is a very important aspect of many
clinical issues. Beside this important applied implication, there has
been relatively few fundamental studies to quantitatively investigate
the 3D spatial organization and the temporal evolution of the
micro-vasculature of tumors. The aim of this post-doctoral study is to
develop some automatic image analysis of the 3D structure of normal and
tumoral vascular networks.
SCIENTIFIC MILESTONES:
This post-doc takes place in the framework of the project ANR Blanc 1
142915 ``Micro-r\'eseau'' where we develop new imaging methods for
micro-vascular networks using synchrotron tomography.
Different imaging modes will be investigated in the context of this
post-doctoral study. First, absorption imaging mode associated with the
injection of a contrast agent in vessels will be analyzed. The contrast
that we have already obtained with this imaging mode is very high, so
that many automatic treatments are possibles as testified by the
expertise that we have developed for the vessel skeletonization.
Furthermore, other imaging mode such as the phase holotomographie will
also be investigated. Those mode permits the imaging of vessels that
have not been injected with a contrast agent, but the resulting images
are very noisy. A first test have shown the existence of multi-scaled
textured artifacts on these images that will have to be handled for
extracting optimal vessels skeletonization.
One key aspect of the problematic, is the size of the images that can be
as large as 4 Giga-Octet. Hence the algorithmic cost of the chosen
methods is crucial. We will try to find a compromise between fast
methods and the robustness of stochastic methods.
In a second step, some complementary analysis will be performed on the
same samples imaged on synchrotron, cutting them and extracting 3D
images with confocal microscopy with the aim of identifying some
interesting biological information. We would like to develop the best
matching procedures for the 3D images that will be obtained with the two
imaging methods.
The candidate should have a phD degree in computer vision or related
field. It should be ready to evolve in a multi-disciplinary framework.
C or C++ programming expertise are required.
PRACTICAL ISSUES:
The post-doc will take place at the Institut de Mecanique des Fluides de
Toulouse UMR CNRS-INPT-UPS 5502 ( http://wwww.imft.fr ). This is a 12 month
contract starting the first October 2008. Application (CV+motivation
letter+recommandation letter) must be send to mailto:plo...@imft.fr . Deadline,
mid-July 2008.
------------------------------
From: "Badri Roysam" <roy...@ecse.rpi.edu>
Subject: JOB : Post-doctoral Positions - Rensselaer Polytechnic - Troy, NY
Applications are invited to fill several immediate openings in my
laboratory for post-doctoral associates in the area of biological image
segmentation, tracking, and pattern analysis. I am also willing to
consider talented individuals with a Masters degree. The required
skills include high-quality C++ programming and 3-D image analysis.
Experience with 3-D graphics programming using OpenGL or VTK is highly
desirable. Prior exposure to ITK and/or VTK, and disciplined software
development processes is also highly desirable. Please contact me by
mailto:Roy...@ecse.rpi.edu
Badri Roysam
Professor, Department of Electrical, Computer and Systems Engineering
Associate Director, NSF Center for Subsurface Sensing & Imaging Systems
(CenSSIS ERC)
Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York 12180
Office(JEC 7010): 518-276-8067, Lab(JEC 6308): 518-276-8207,
Fax: 518-276-8715
mailto:roy...@ecse.rpi.edu , http://www.ecse.rpi.edu/~roysam
------------------------------
From: "Li, Shuo (GE Healthcare)" <Shu...@ge.com>
Subject: JOB : Postdoctoral Fellowship - GE Healthcare - ON, Canada
Postdoctoral Fellowship-GE Healthcare/ Western/Robarts/ Lawson /LHSC
- Machine Learning and Pattern Recognition
One postdoctoral fellowship is available in GE Healthcare, London, ON,
Canada.
The successful candidate will conduct cutting-edge research with leading
researchers in GE Healthcare, the University of Western Ontario
(Western), Robarts Research Institute, Lawson Health Research Institute,
and London Health Sciences Centre (LHSC) in the field of medical image
analysis and visualization. They will also gain opportunities to
directly interact with radiologists for problem definition, solution
development, and validation.
GENERAL REQUIREMENTS:
The successful candidate will be an excellent scholar having degrees (or
will have) from computer science, electrical engineering, computer
engineering, or an engineering discipline with an inter-disciplinary
background in machine learning. The candidate should have a proven
record in research, innovative thinking, real-world problem solving and
fast prototyping.
For consideration, please send a cover letter, resume and three
representative publications to: mailto:shu...@ge.com
Please mention "GE-London-Postdoc" in the subject line.
------------------------------
From: Bob Fisher <r...@inf.ed.ac.uk>
Subject: JOB : Post-doctoral Research Post - Univ Edinburgh - UK
University of Edinburgh
School of Informatics
One Post-doctoral Research Post - Computer Vision
Applications are invited for one post-doctoral researcher to work in the
School of Informatics on a Wellcome Foundation funded project entitled
"Dermofit: A cognitive prosthesis to aid focal skin lesion diagnosis".
Informatics at Edinburgh is one of the top-ranked departments in Europe.
The project goal is to develop an interactive skin cancer image database
indexing tool, where users compare 'live' skin lesions/spots to images
selected from a database. Based on user feedback on the appropriateness
of the selections, the database will searched for better matches.
The main activities of the researcher will be to investigate how to
achieve high quality database selections, where the user might supply a
sample image, with the spot highlighted, or where only the database
alone is used and the user is looking at the lesion. The research will
require development of algorithms for lesion segmentation, colour
correction, feature extraction, feature selection and database indexing.
The developed tool will be executable through a web-browser so JAVA
skills are a necessity. Intermediate development might be done in Matlab
or other appropriate languages.
See: http://homepages.inf.ed.ac.uk/rbf/DERMOFIT/details.htm
for more details.
Applicants for the post must have completed a PhD in an appropriate
area, such as computer vision or image processing and should have
experience with the MATLAB and JAVA programming languages. As the
project is about database retrieval of medical images, we will be
looking for applicants having experience with image database retrieval
and medical image processing.
The post is on the Edinburgh UE07 scale (28290-33780 pounds/annum) and
is available from August 1, 2008 until July 31, 2011. Placement for the
post is according to experience and qualifications.
Further particulars are available from the URL above.
Applications are sent to:
Irene Madison (ipab-sec #at# informatics.ed.ac.uk)
School of Informatics, Univ of Edinburgh
Room 2107E, James Clerk Maxwell Building
The King's Buildings, Mayfield Road, Edinburgh EH9 3JZ UK
Please quote reference number 3009159.
Closing date for applications is May 30, 2008.
The application form can be found soon at http://www.jobs.ed.ac.uk ,
which also allows online application.
Informal inquiries may be made to Bob Fisher: r...@inf.ed.ac.uk .
------------------------------
From: James Coughlan <coug...@ski.org>
Subject: JOB : Post-doctoral Fellowship - Smith-Ketterwell - SF, CA
Post-doctoral Fellowship in Computer Vision for Blind/Low Vision
Applications
The Smith-Kettlewell Eye Research Institute (located in San Francisco,
CA) seeks a qualified researcher to join the Computer Vision Lab as a
post-doctoral fellow. The Computer Vision Lab, under the direction of
Dr. James Coughlan, is part of the Smith-Kettlewell Rehabilitation
Engineering Research Center (RERC), a group focusing on the development
of assistive technology and visual assessment for blindness and low
vision.
Research activities will concentrate on developing computer vision
algorithms for blind and low vision applications. Current applications
include detecting and reading consumer electronics displays (e.g.
LED/LCD readouts on microwave ovens and other appliances) and
indoor/outdoor signs, inferring the layout of traffic intersections and
finding features such as curbs and curb cuts. Many of these algorithms
will be designed to run in real time, and will be tested by blind and
low vision users.
A Ph.D. in a computational field such as computer science, engineering,
physics or math is required, and the applicant must have experience in
computer vision. Proficiency in C++ is also required. Since the Computer
Vision Lab emphasizes the use of Bayesian methods, the applicant will
ideally have experience in probabilistic modeling and/or machine
learning. Finally, excellent oral and written communication skills and
the ability to work in a team are a must.
The fellowship will be funded by one or more grants from the National
Eye Institute (part of the National Institutes of Health). Two years of
funding are guaranteed, and a third year is possible.
Please contact Dr. Coughlan at coug...@ski.org if you are interested in
applying for the position. For more information about the Computer
Vision Lab, see http://www.ski.org/Rehab/Coughlan_lab/
Contact mailto:coug...@ski.org
------------------------------
From: "Parmpi, Paraskevi" <Paraskev...@uphs.upenn.edu>
Subject: JOB : Postdoctoral position - Univ Penn - Philadelphia, PA
A postdoctoral position is available at the Section of Biomedical Image
Analysis (SBIA), of the Department of Radiology, University of
Pennsylvania ( http://www.rad.upenn.edu/sbia ). The successful
candidate must have background in Applied Math, Electrical or Biomedical
Engineering, or Computer Science. Several project opportunities exist,
involving work on deformable registration and pattern classification.
SBIA has been a dynamically growing medical image analysis group,
including 25 researchers and many collaborators from diverse fields and
offers diverse opportunities to researchers with interests in applying
math and engineering knowledge and models to the rapidly growing
biomedical imaging field. Please e-mail or mail CV's to:
Christos Davatzikos
Director, Section of Biomedical Image Analysis
Professor, Radiology
Joint affiliations: Electrical and Systems Engineering, and
Bioengineering
3600 Market street, Suite 380, Philadelphia, PA 19104
mailto:chri...@rad.upenn.edu
------------------------------
From: Bogdan Stanciulescu <bog...@ensmp.fr>
Subject: JOB : PhD position - Ecole des Mines - Paris FR
PhD TITLE: "Features and machine-learning algorithms, using motion
information, for multiclass object or action recognition"
Location: Ecole des Mines de Paris
Robotics Centre (CAOR) - http://caor.ensmp.fr
60 boulevard Saint-Michel, 75272 Paris Cedex 06
PhD Supervisor: Bogdan Stanciulescu
Starting date: September 2008, 3 years
Financing: fellowship “Ecole des Mines” or “Armines”
Key-words: machine learning, image processing, pattern recognition,
tracking, intelligent transportation systems, video-surveillance.
CONTEXT
This PhD thesis is proposed within the framework of the Robotics Centre
of the Ecole des Mines de Paris. The Robotics Centre is conducting
applied research on the following fields: intelligent transportation
systems (ITS), virtual and augmented reality, 3D environment
reconstruction, advanced control systems, video-surveillance. The
Robotics Centre is participating in R&D projects with French and
European industry and academic institutes. Successful applications have
been developed and transferred to the industry and lead to the creation
of several start-up companies. Among them we quote the RTMaps
prototyping system, used for a real-time environment analysis and
multi-sensor fusion in various applications, such as pedestrian and car
detection, advanced driving assistance, etc. Ecole des Mines is a
prestigious French engineering school located in the latin quarter of
Paris.
SUBJECT DESCRIPTION
This PhD proposal is focused on multi-class object (i.e. people,
vehicles, faces, etc) and action detection and recognition, in dynamical
environments, using mono-camera image sequences. To this aim, research
on the following axis is to be considered:
• Machine learning algorithms with applications in computer vision;
• Spatio-temporal features for object and class of objects (people in
particular).
The Robotics Centre of Ecole des Mines has developed specific tool and
algorithms for classifier learning, using object cropped-images from
image sequences. This tool is based on the AdaBoost algorithm, which is
gathering and weighting several weak classifiers, each one representing
an object feature. One goal of this thesis proposal is to extend the
existing tools and framework to multi-class machine learning algorithms
(AdaBoost, SVM, others), ensuring the simultaneous classification and
recognition of several object categories. The results of this research
results could be used for semantic scene analysis, in video-surveillance
and ITS applications.
The other goal of this proposal is to construct a new class of
spatio-temporal visual features, integrated within the same research
framework. These features will integrate the motion (temporal) and the
spatial information, in order to simultaneously quantify the shape and
the object (or their components) dynamics.
Among the possible applications of the student’s research, the object’s
actions recognition and action-type classification (lateral movement,
static pose, etc.) could be explored. A way in achieving this could be a
statistical learning approach on the family of spatio-temporal features.
The candidate is requested to follow scientific training courses
required by Ecole des Mines de Paris. He/She shall integrate a dynamic
research team; thus he must show his ability to work in team and
participate to the scientific activities of the laboratory.
Candidate Profile
The successful candidate must hold a Master degree and have the
following skills:
• Good knowledge of machine learning algorithms;
• Good level in image processing and computer vision.
• Fluent in English and good level in French.
• C/C++ or Java programming language.
• Taste for experimental validation.
• Driving licence is appreciated.
CONTACT
Scientific Contact: Bogdan Stanciulescu :
mailto:Bogdan.St...@ensmp.fr
Tél : +33 – (0)1.40.51.94.98
Application Contact : Christine Vignaud :
mailto:Christin...@ensmp.fr
Tél :+33 – (0)1.40.51.92.55
------------------------------
From: David Masip <dav...@cvc.uab.es>
Subject: JOB : PhD Students - UAB - Spain
PhD Students in Computer Vision (Object Recognition and Medical Imaging
group)
The Object Recognition and Medical Imaging group from the Computer
Vision Centre ( http://www.cvc.uab.es ) offers a PhD research position
to work in this area. Research issues include applications of machine
learning techniques to high dimensional data analysis.
The thesis will be focused on facial data classification in uncontrolled
environments including (but not restricted to):
- Facial expression modelling and recognition.
- Face Recognition in biometrics.
- Online / Incremental learning applied to biometrics.
- Active / Interactive learning.
- Gesture Recognition.
The research will be applied to different real projects dealing with
context aware environments, social modelling and health-related
applications."
Duration: 1 year for the Master degree finalization, and the optional
renew up to a total of 4 years for the PhD realization.
Master degree included in the scholarship.
Salary: 1250 Euros/month
Requirements: Computer Science degree, or related areas such as
Mathematics, Physics, or Electrical Engineering. Programming skills are
required (C, C++, JAVA, Python, or Matlab). Also English skills and
strong motivation are mandatory.
Applicants should submit:
1) Application letter
2) Curriculum Vitae and Academic Record
3) Letters of Reference (if available)
Send required information to:
David Masip: mailto:dav...@cvc.uab.es
Campus UAB, Edifici O, 08193, Bellaterra, Barcelona, Spain
------------------------------
From: Vladimir Kolmogorov <v...@adastral.ucl.ac.uk>
Subject: JOB : PhD position - Univ College London - UK
PhD student position in Computer Vision
(EPSRC/BT Industrial CASE Award scheme)
http://www.adastral.ucl.ac.uk/~vnk/phdposition2.html
Topic: Super-resolution of low-quality surveillance video
Supervisors:
Vladimir Kolmogorov http://www.adastral.ucl.ac.uk/~vnk (University College London)
Ingemar J. Cox http://www.adastral.ucl.ac.uk/~icox (University College London)
Li-Qun Xu (BT Research and Venturing)
Description:
The goal of super-resolution is to synthesize a high resolution
image from lower resolution images. This is a very important
practical problem with many applications such as analysis CCTV
surveillance video, restoration of old photographs, and image
compression.
Super-resolution received a considerable attention in the
literature, however it is far from being solved. The difficulty is
that it is an inherently ill-posed problem in which we want to
reconstruct higher frequencies than what's available in the input
images. A standard way of solving such ill-posed problems is to
impose priors on the image to be reconstructed. For example, this
prior may take the form of patches taken from training images. The
goal of the PhD work will be to push the limit of super-resolution
by exploring different models of image formation, different priors
on images and ways of combining them. Some of the formulations
will result in challenging optimization problems, which may
require new optimization techniques.
About the Candidate:
The ideal candidate should have a strong background in
mathematics, and also considerable programming experience. Funding
is available for UK candidates only, or candidates that can
demonstrate a relevant connection to the UK (usually established
by being resident for a period of three years immediately before
the date of application for an award). Detailed guidelines on
eligibility for EPSRC CASE studentships are available on the EPSRC
website
http://www.epsrc.ac.uk/PostgraduateTraining/StudentEligibility.htm .
In addition, the student must have an EU citizenship to qualify
for reduced UCL tuition fees.
About the Position:
The PhD will be supervised by Vladimir Kolmogorov and Ingemar J.
Cox from University College London, Adastral Park and Li-Qun Xu from
BT Research and Venturing, also located at
Adastral Park. The position will be funded by EPSRC/BT Industrial
CASE Award scheme (details can be found here:
http://www.epsrc.ac.uk/PostgraduateTraining/IndustrialCASE/default.htm ).
For eligible candidates, the funding will cover UCL tuition fees
and provide a stipend of at least £15,300 per annum for 3 years.
If you wish to apply for this studentship, please use the link
http://www.ucl.ac.uk/prospective-students/graduate-study/application-admission/
Make sure you specify PhD: "Computer Vision" on the part of the
form that asks what you are applying for. After you fill in this
form, please email it to t.cl...@adastral.ucl.ac.uk , or send
to Ms Tracy Clarke, UCL Adastral Park Postgraduate Campus Ross
Building PP3, Adastral Park, Martlesham, Suffolk IP5 3RE.
Informal enquiries may also be directed to Vladimir Kolmogorov,
v...@adastral.ucl.ac.uk
------------------------------
From: bog...@cvc.uab.es
Subject: CFP : Special lssue of IVC Journal on Online Learning - 31AUG2008
Image and Vision Computing Journal
SPECIAL ISSUE - Online Pattern Recognition and Machine Learning Techniques
for Computer-Vision: Theory and Applications
Guest editors: Bogdan Raducanu, Jordi Vitrià, Ales Leonardis
AIM & SCOPE
In real life, visual learning is supposed to be a continuous process.
Opposite to this, in machine vision, learning has been so far considered
in a limited and isolated way. Most of the nowadays approaches, with
very few exceptions, require the intervention of the human operator to
collect, segment and store hand-picked data and train pattern
classifiers with them. However, for real world scenarios, it is unlikely
to know beforehand the number of total classes or the exact number of
instances per class. There is a recent trend in pattern recognition
represented by online learning approaches, which treat to continuously
update the data representation when new information arrives. Starting
with a minimal set, the initial knowledge is expanded, by incorporating
incoming instances, some of them which have not been previously
available or foreseen at the application creation stage. An interesting
characteristic of this strategy is that the train and test phases take
place simultaneously. Given the increasing interest on this subject, the
aim of this special issue is to be a landmark event in the development
of online learning techniques and their applications with the hope that
will capture the interest of a wider audience and will attract even more
researchers.
TOPICS COVERED
Topics of interest include, but are not limited to the following:
- feature extraction and representation
- incremental/decremental learning strategies
- online classification
- unsupervised clustering
- novelty detection
- knowledge discovery
- optimal data representation to manage large datasets
- extraction and creation of semantic content from data
- contextual representation and reasoning
- developmental architectures
- modelling of cognitive processes
SUBMISSIONS
Manuscripts should be prepared according to the instructions of the “Guide
for Authors” section of the journal found online at:
http://www.elsevier.com/locate/imavis and the submission should be made
online at the journal website.
When making a submission authors should select "OPRMLT Special Issue" on
the Article Type dropdown list in the first of the steps in the submission
sequence.
Submission of a manuscript implies that it is the authors’ original
unpublished work and is not being submitted for possible publication
elsewhere.
Manuscripts will be assigned to international reviewers and the review
processes will be managed by the Guest Editors working with the
Editor-in-Chief, Professor K.D. Baker. For any clarification please
contact Dr. Bogdan Raducanu, Prof. Jordi Vitrià or Prof. Ales Leonardis at
the addresses below.
IMPORTANT DATES
* Paper Submission deadline: 31 August 2008
* Approximate Decision Notification date: 30 November 2008
* Revised Paper Submission (if applicable): January, 2009
* Approximate Final Decision Notification: February, 2009
Tentative publication date: June 2009.
GUEST EDITORS
Dr. Bogdan Raducanu, Prof. Jordi Vitrià, Computer Vision Center
Edifici "O" – Campus UAB, 08193 Bellaterra (Barcelona) SPAIN
Tel.: +34.93.581.1828, Fax: +34.93.581.1670
E-mail: {bogdan,jordi}@cvc.uab.es
URL: http://www.cvc.uab.es/~bogdan http://www.cvc.uab.es/~jordi
------------------------------
From: "olivier...@unicaen.fr" <olivier...@unicaen.fr>
Subject: CFP : Special Issue Int J Signal Processing - 31OCT2008
Call for papers for a Special issue of the international journal "Signal
Processing" on the "Processing and Analysis of High-Dimensional Masses
of Image and Signal Data"
The coming century will be that of the data and data mining is already
considered as one of the most challenging ongoing research fields. Our
information society continuously invests massively in the collection,
the processing and the analysis of data of all kinds on enormous scales.
One typical case is image, video and signal data that are one of the
major sources that feed our society in torrential streams.
High-dimensional masses of image, video and signal data can be of two
types: a high number of data instances or a high number of features
describing each instance. Anyway, this high-dimensionality is a brake
for the extraction of knowledge from such data. Indeed, classical
methods are not designed to cope with this kind of explosive growth of
dimensionality and their performances collapse when dimensionality gets
high. For the case of images, video and signal data, one needs efficient
tools to denoise, process, analyze, reduce, categorize, classify and
visualize such high-dimensional masses of data.
This issue aims to present the latest developments in this area both
from theoretical and application perspective to capture the widest
possible range of problems in the processing and the analysis of high
dimensional masses of image, video and signal data. To this end, we
solicit submissions in the following areas, among others focused on
image, video and signal data:
-Dimensionality reduction,
-Graph-based methods,
-Supervised, unsupervised and semi-supervised learning,
-Manifold learning,
-Clustering, categorization,
-Data denoising, regularization and diffusion,
-Applications
The provisional calendar for the issue is:
-Deadline for submission: October, 31st 2008
-First Round of Reviews/Decisions: January, 31st 2009
-Resubmission of Revised Papers (if needed): April, 30th 2009
-Final Decisions to the authors: June, 30th2009
-Issue Publication (scheduled): fall/winter 2009
Guest Editors:
Christophe Charrier, Olivier Lezoray, Abderrahim Elmoataz; Université de
Caen Basse-Normandie, France
Robert Bergevin, Université Laval, Québec, Canada
Fathallah Nouboud, Université du Québec à Trois Rivières, Québec, Canada
Louis Wehenkel, Université de Liège, Belgium
Signal Processing International Journal, Elsevier
http://www.elsevier.com/wps/find/journaldescription.cws_home/505662/description
Pdf version of the call for papers:
http://www.elsevierscitech.com/rss/pdfs/cfp_sigpro_hdmasses.pdf
------------------------------
From: George Bebis <be...@cse.unr.edu>
Subject: CFP : 4th Int Sym Visual Computing - Las Vegas, NV - 21JUL2008
We are pleased to announce the following keynote speakers and special
tracks for the 4th International Symposium on Visual Computing (ISVC08),
Las Vegas, NV, Dec 1-3, 2008 http://www.isvc.net
KEYNOTE SPEAKERS
Prof. Ioannis Pavlidis, University of Houston
Prof. Gerard Medioni, University of Southern California
Dr. Kelly Gaither, Texas Advanced Computing Center
Prof. J.K. Aggarwal, University of Texas at Austin
Prof. Arie Kaufman, Stony Brook University (SUNY)
Prof. Eric Grimson, Massachusetts Institute of Technology (MIT)
SPECIAL TRACKS
ST1: Semi-supervised Learning for Visual Computing: Theory and
Applications
ST2: Object Recognition
ST3: Real-time Vision Algorithm Implementation and Application
ST4: Visualization and Simulation on Immersive Display Devices
ST5: Analysis and Visualization of Biomedical Visual Data
ST6: Soft Computing in Image Processing and Computer Vision
ST7: Computational Bioimaging and Visualization
ST8: Focus of Attention in Vision Systems
ST9: Discrete and Computational Geometry and their Applications in Visual
Computing
ST10: Image Analysis for Remote Sensing Data
IMPORTANT DEADLINES
July 21, 2008 Paper submissions due
September 1, 2008 Notification of acceptance
September 15, 2008 Final camera ready papers due
December 1-3, 2008 Symposium
ABOUT ISVC
The purpose of the International Symposium on Visual Computing (ISVC) is
to provide a common forum for researchers, scientists, engineers and
practitioners throughout the world to present their latest research
findings, ideas, developments and applications in the broader area of
visual computing.
ISCV seeks papers describing contributions to the state of the art and
state of the practice in the broad field of visual computing. In
particular, ISVC is structured around four central areas of visual
computing: (1) computer vision, (2) computer graphics, (3) virtual
reality, and (4) visualization. In particular, we are interested in
papers that combine technologies from two or more of these areas.
This is the third in the series of symposia following three successful
meetings in 2005, 2006 and 2007. ISVC08 will consist of invited and
contributed presentations dealing with all aspects of visual computing.
In addition to the main symposium, the symposium will include several
keynote presentations, special tracks, and a poster session. Two "best
paper awards", each worth of $500, are sponsored by Siemens and
Mitsubishi Electric Research Labs (MERL). In addition, Informatics
Circle of Research Excellence (iCORE) offers a $500 award for the best
paper in the special track on Analysis and Visualization of Biomedical
Visual Data.
The symposium's proceedings will be published by Springer-Verlag in the
Lecture Notes in Computer Science (LNCS) series.
------------------------------
From: Jonathan Kofman <jko...@engmail.uwaterloo.ca>
Subject: CFP : Optomechatronic CV Systems - San Diego, CA - 01JULY2008
Optomechatronic Computer-Vision Systems
http://www.ssc-lab.com/ISOT/Attachments/CFP2_2008_Conference_Computer-Vision.pdf
International Symposium on Optomechatronic Technologies (ISOT 2008),
November 17-19, 2008,
San Diego, U.S.A.
http://www.ssc-lab.com/ISOT/index.html
http://spie.org/Documents/ConferencesExhibitions/ISOT%202008%20Call%20for%20Papers.pdf
Important Dates:
Full Draft Paper Due: Revised: July 1, 2008
Notification of Acceptance: August 1, 2008
Final Paper and Summary Due: September 1, 2008
Acceptance will be based on full paper review.
Computer-vision systems are being developed and employed in an
increasing range of applications from surveillance and security to
manufacturing and industry, archaeology, entertainment, and medicine.
Recent advances in research and development of vision-based sensors and
systems have been the result of advances in both computer-vision and
optical-system design, and the innovative fusion of these technologies.
Optomechatronic computer-vision systems have evolved in intelligent
robot-vision systems, automated inspection, autonomous tracking systems,
medical, biological, and agricultural imaging and diagnosis, and novel
biometric techniques, to name only a few areas. Improved technology in
optical devices, and computer-vision techniques, has led to increased
intelligence and capabilities of new systems. This conference will bring
together scientists from academia and industry to exchange the latest
ideas and newest techniques, principles, and applications related to
optomechatronic computer-vision systems.
Particular topics of interest include, but are not limited to:
- Sensing technology for computer-vision systems and machine vision
including optics, illuminations, image sensors, devices, and
measurement methods
- Imaging techniques including range imaging, stereo, surface
analysis, particle analysis, defect analysis
- Integration of sensing technologies including multi-sensor fusion,
and multi-view analysis
- Robotic-vision systems, including human-robot interfaces and
teleoperated robots, semi-autonomous, and autonomous systems, 2-D and
3-D image-guided systems and robots
- Applications including automation, vehicle control, manufacturing
and visual inspection
- Tracking of objects, human body, hand, and face, motion analysis
- Hand and facial gesture recognition
- Medical imaging, analysis, modeling, and diagnosis
- Biometrics
- Biological and agricultural imaging
- Optical measurement systems, range-sensing, fringe-projection,
phase-shifting, phase-measurement and interferometry techniques
- Pattern and object recognition
- Surveillance and security applications
- Computer-vision graphics and display
- Augmented reality.
Papers submission and other details:
http://www.ssc-lab.com/ISOT/Attachments/CFP2_2008_Conference_Computer-Vision.pdf
Full Draft Paper Due: Revised: July 1, 2008
Final full paper and summary due: September 1, 2008.
Acceptance will be based on full paper review.
Optomechatronic Computer-Vision Systems III
CONFERENCE CHAIR: Jonathan Kofman, University of Waterloo (Canada)
CONFERENCE CO-CHAIRS:
Didier Coquin, IUT d?Annecy (France)
Shun?ichi Kaneko, Hokkaido University (Japan);
Claudio A. Perez, University De Chile (Chile);
International Symposium on Optomechatronic Technologies (ISOT 2008),
November 17-19, 2008,
San Diego, U.S.A.
http://www.ssc-lab.com/ISOT/index.html
Full symposium call for papers:
http://spie.org/Documents/ConferencesExhibitions/ISOT%202008%20Call%20for%20Papers.pdf
SYMPOSIUM CHAIR:
Kee S. Moon (US)
SYMPOSIUM CO-CHAIRS:
Hyungsuck Cho (KR)
Shun?ichi Kaneko (JP)
Farrokh Janabi-Sharifi (CA)
Takayuki Tanaka (JP)
Samuel K. Kassegne (US)
------------------------------
From: A.Ni...@ewi.utwente.nl
Subject: CFP : Facial and Bodily Expressions - Amsterdam - 15JUN2008
Call for Papers
Facial and Bodily Expressions for Control and Adaptation of Games (ECAG '08)
http://hmi.ewi.utwente.nl/conference/ECAG08
Workshop organized in conjunction with the 2008 IEEE International
Conference on Automatic Face and Gesture Recognition
( http://www.fg2008.nl/ ) FG 2008
September 16 (one day before the FG 2008 conference), Amsterdam
Facial and Bodily Expressions for Control and Adaptation of Games
Many interactive systems observe the human body and face and use these
as a means for input. Examples are playing a boxing game using body
movements, mimicking the user's facial expressions in Second Life,
controlling a robot in a home environment, or adapting the teaching
strategy based on the detection of frustration in a tutoring
application. In these examples, observations of the face and body are
used in different forms, depending on whether the user has the
initiative and consciously uses his or her movements and expressions to
control the interface or whether the application takes the initiative to
adapt itself to the affective state of the user as it can be interpreted
from the user's expressive behavior. Hence, we look at:
VOLUNTARY CONTROL
The user consciously produces facial expressions, head movements or body
gestures to control a game. This includes commands that allow navigation
in the game environment or that allow movements of avatars or changes in
their appearances (e.g. showing similar facial expressions on the
avatar's face, transforming body gestures to emotion-related or to
emotion-guided activities). Since the expressions and movements are made
consciously, they do not necessarily reflect the (affective) state of
the gamer.
INVOLUNTARY CONTROL
The game environment detects, and gives an interpretation to the gamer's
spontaneous facial expression and body pose and uses it to adapt the
game to the supposed affective state of the gamer. This adaptation can
affect the appearance of the game environment, the interaction
modalities, the experience and engagement, the narrative and the
strategy that is followed by the game or the game actors.
We are soliciting papers that discuss research into this area, with a
strong focus on applications. We consider the domain of entertainment,
(serious) gaming and simulation. In addition to video-based observation,
we also consider other means of input, including multi-modal approaches.
Technical papers, as well as survey papers and empirical papers are
eligible.
Authors are invited to submit papers (between six and fifteen pages),
using the formatting guidelines of the main conference (not blind).
Papers will be refereed by at least three reviewers. Accepted papers
will appear in paper proceedings with ISSN/ISBN, and appear on the
CD/memory stick together with papers of the main conference. Send papers
to mailto:anij...@cs.utwente.nl .
REGISTRATION
Registration is open for all FG2008 participants and for others.
Registration fee is €50 in combination with the main conference, and
€100 for the workshop only. Authors and participants can register at
the main conference website. SIKS students can get a refund of the
workshop registration fee.
IMPORTANT DATES
Submission deadline: June 15, 2008
Notification of acceptance: July 8, 2008
Camera-ready paper submissions: August 1, 2008
Early registration for the main conference: July 15, 2008
Registration: Not later than September 1, 2008
Workshop: 16 September 2008
PROGRAMME CHAIRS AND ORGANIZERS
Anton Nijholt (HMI, University of Twente, the Netherlands)
Ronald Poppe (HMI, University of Twente, the Netherlands)
PROGRAM COMMITTEE
Jeremy Bailenson (Stanford University, USA)
Nadia Berthouze (University College London, UK)
Antonio Camurri (Universty of Genova, Italy)
Yun Fu (University of Illinois at Urbana-Champaign, USA)
Hatice Gunes, University of Technology, Sydney, Australia
Mitsuru Ishizuka (University of Tokyo, Japan)
Nadia Magnenat-Thalmann (University of Geneva, Switzerland)
Christopher Peters, Université de Paris 8, France
Mannes Poel, University of Twente, the Netherlands
Gang Qian, Arizona State University, USA
Rainer Stiefelhagen (University of Karlsruhe, Germany)
------------------------------
From: "Rahul Swaminathan" <rahul.sw...@telekom.de>
Subject: CFP : 8th WS Omni Vision an non-classical cams - France - 04JUL2008
OMNIVIS 2008
The Eighth Workshop on Omnidirectional Vision, Camera Networks and
Non-classical Cameras
Web: http://omnivis.labs-exit.de/
October 17th 2008 in conjunction with ECCV, Marseille France.
We are pleased to announce OMNIVIS'2008, the Eighth Workshop on
Omnidirectional Vision, Camera Networks and Non-classical Cameras, to be
held on October 17th in conjunction with ECCV 2008 in Marseille, France.
The OMNIVIS'2008 Workshop continues a series of workshops started in
2000. The aim of the workshop is to bring together researchers
interested in camera networks and omnidirectional vision including novel
imaging and projection systems and catadioptric systems.
Contributions are sought on new and original research on any aspect of
omnidirectional vision and camera networks, including novel sensor
design, panoramic vision applications, and scalable algorithms for
large-scale camera networks. All papers will be subject to a
double-blind review process which will be carried out by a Program
Committee of leading international researchers.
Areas of interest include, but are not limited to: • Novel Cameras and
Display Systems cameras o Novel Designs o Calibration and modelling o
Image processing o Other Applications • Large- (>1000) and medium-
scale (10-1000) camera networks o Decentralized algorithms robust to
node failures o Calibration o Camera deployment and distributed
calibration applications: surveillance, tele-immersion, intelligent
environments, etc.
Mini-panels:
This year, in order to stimulate open discussion on specific themes, the
OMNIVIS workshop will include mini-panel discussions on topics related
to the accepted papers. Short after early registration deadline, the
abstracts of the accepted papers will be available online. On demand,
the full content of specific papers will be available for early
registered participants. Early registered participants can then
formulate interest in mini-panel discussions associated to specific
papers; they are expected to prepare a 1-3 minute oral contribution to
each discussion. A mini-panel discussion will take place after each
paper presentation (or poster session). Its duration will be calibrated
according to the number of interest formulations associated to the
paper, so to include also the usual, extemporaneous questions from the
audience.
Important Dates:
(a) Submission deadline: 4th, July 2008
(b) Reviews deadlines: 25th, July 2008
(c) Notification of acceptance: 4th, August 2008
(d) Camera ready submission: 20th August 2008
(e) Abstracts of accepted papers available on-line: 25th August 2008
(f) Early registration: 1st September 2008
(g) Formulation of interest on mini-panels on accepted papers: 10th
September 2008
Organizers.
••Rahul Swaminathan, Deutsche Telekom Labs
(rahul.sw...@telekom.de) ••Vincenzo Caglioti, Politecnico di
Milano, (vincenzo...@polimi.it) ••Antonis Argyros, University of
Crete and FORTH-ICS (arg...@ics.forth.gr)
------------------------------
From: Robert Benavente <rob...@cvc.uab.es>
Subject: CFP : Summer School on PR for Motion - Spain - 7-11JUL2008
The Computer Vision Center (CVC) and the Spanish Association for Pattern
Recognition (AERFAI) are pleased to invite you to the Summer School on
New Trends in Pattern Recognition for Motion Analysis (PRMA) to be held
in the Computer Vision Center, Barcelona, Spain during 7th-11th July, 2008.
The Summer School is organized as a one-week intensive course, combining
theoretical concepts in the morning sessions and applications in the
afternoon.
The main topics will be:
- Pattern Recognition Techniques
- Color and Texture Analysis (color perception, content-based retrieval)
- Human Motion Analysis
- Driver Assistance Vision
- Video Surveillance
Further information about the Summer School is available at:
http://www.cvc.uab.es/aerfaiss08/
------------------------------
End of VISION-LIST digest 27.5
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