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Today's Topics:
Q&A : New online vision books
Q&A : ImageCLEF 2007
JOB : Research Scientist - NICTA - Canberra, Australia
JOB : R&D Engineer - Univ of Poitiers - France
JOB : Research Scientists - Siemens Corporate Research - Princeton US
JOB : CV R&D Eng - Optasia Medical - Manchester, UK
JOB : Post-doc - Univ of W Australia - Australia
JOB : Postdocs and PhD studentships - The Open University - UK
JOB : Research Fellow - Univ of Birmingham - UK
JOB : Internships - Siemens Corporate Research - NJ, USA
CFP : Beyond Multiview Geometry - Minneapolis, MN - 19MAR2007
CFP : CRV VideoRec'07 WS - Montreal, Canada - 10APR2007
CFP : ECCOMAS VipIMAGE 2007 - Abstracts submission extended to 31MAR07
CFP : IICAI-07 - India - 02APR2007
----------------------------------------------------------------------
From: Bob Fisher <r...@inf.ed.ac.uk>
Subject: Q&A : New online vision books
Two more out of print vision books have been scanned and mounted on the web,
thanks to euCognition ( http://www.eucognition.org/ ) funding:
J.E. W. Mayhew, J.P. Frisby;
3D Model Recognition From Stereoscopic Cues
MIT Press, 1991, ISBN 0-262-13243-5
http://homepages.inf.ed.ac.uk/rbf/BOOKS/MAYHEW/
M. A. Fischler, O. Firschein
Intelligence: The Eye, the Brain and the Computer
Addison-Wesley, 1987, ISBN: 0201120011
http://homepages.inf.ed.ac.uk/rbf/BOOKS/FISCHLER/
They have been linked into the growing collection of online (and offline)
computer vision/image analysis/imaging books at:
http://homepages.inf.ed.ac.uk/rbf/CVonline/books.htm
If you have a computer/machine/biological vision/imaging book that's not
included, please tell me about it and I'm happy to include it. Also, if
your book has an online support website (eg, with errata, sample
problems, computer programs) that is not already linked in, please tell
me and I'll link it. (But not if it's just the publisher's or amazon's
sale website).
Best wishes,
Bob
Prof. Robert B. Fisher, School of Informatics, Univ. of Edinburgh
Room 2107D, James Clerk Maxwell Building, The King's Buildings,
Mayfield Road, Edinburgh EH9 3JZ, United Kingdom
+44-(131)-651-3441 (direct line), +44-(131)-651-3443 (secretary)
Fax: +44-(131)-651-3435 E-MAIL: r.b.fisher A@T ed.ac.uk
http://www.inf.ed.ac.uk/people/staff/Robert_Fisher.html
------------------------------
From: Thomas Deselaers <dese...@informatik.rwth-aachen.de>
Subject: Q&A : ImageCLEF 2007
ImageCLEF 2007: Registration now open, Call for Participation
Registration is now open for ImageCLEF 2007, a benchmarking event for
retrieval from image collections. ImageCLEF is part of CLEF the Cross
Language Evaluation Forum (http://www.clef-campaign.org). Registration
forms are available from the webpage. Registration and participation is
free of charge.
ImageCLEF 2007 consists of four independent subtasks:
- Medical Retrieval from ~70000 images with multi-lingual
textual case notes
- Retrieval from a generic collection of 20000 tourist and sport
photographs with semi-structured multilingual captions
- Detection of object classes
- Hierarchical annotation of medical radiographs
Main goal is to evaluate the combination of information retrieval and
image understanding applications using visual data, multilingual text,
and combinations of the two.
The most interesting approaches in the medical annotation task will be
invited to publish in a special issue of Pattern Recognition Letters.
Information regarding all tracks will soon be available from the
ImageCLEF website at http://ir.shef.ac.uk/imageclef/ .
If you have any questions wrt. to ImageCLEF 2007 feel free to contact
me.
Thomas Deselaers & the ImageCLEF team.
Thomas Deselaers dese...@i6.informatik.rwth-aachen.de
Tel.: +49 241 80 21613 http://www-i6.informatik.rwth-aachen.de/~deselaers
Lehrstuhl für Informatik 6 RWTH-Aachen University, 52056 Aachen, Germany
Human Language Technology and Pattern Recognition
------------------------------
From: Antonio Robles-Kelly <Antonio.Ro...@anu.edu.au>
Subject: JOB : Research Scientist - NICTA - Canberra, Australia
National ICT Australia (NICTA) is Australia's ICT Research Centre of
Excellence. NICTA brings together world-class researchers and
professional staff to enhance their skills and build a culture of
entrepreneurship and achievement in use-inspired research. This will
build Australia's ICT capacity into the future.
An opportunity exists to join the Spectral Imaging and Source Mapping
project at NICTA, within the ViSTA program, as a Researcher Level 3. The
project is aimed at researching and utilising 3D modelling, object
recognition and visualisation techniques from spectral cameras or heat
detected by frontier sensing technologies. The successful applicant will
work primarily on the development of a framework for multi-camera
information fusion which can be applied to the built environment and
human activities within such environments that relate to health, safety
and security. The project will develop methods for scene modelling,
subject tracking and coordinating multiple cameras in wide area coverage
settings. These methods are expected to work primarily with infrared and
near-infrared cameras. Nonetheless, the algorithms developed here will
aim to be as general as possible and are expected to be real-time,
robust and portable to embedded systems.
*RESPONSIBILITY AREAS
*. The development of a computation framework for multicamera
information fusion and pattern recognition across a wide area coverage
setting.
. The development of a set of computational methods for feature
selection, statistical pattern recognition and recognition for spectral
imagery.
. To collaborate with our partners to ensure that the tools and
techniques mentioned above are to an industry standard that would allow
the export of these methods to relevant parties within the industry.
. Form research synergies with researchers in other NICTA programs,
within ViSTA and SISM.
. Contribute to the teaching of advanced courses.
. Contribute to NICTA's international image by participating in
International projects, presentations at conferences, international
collaborative projects and attracting high quality international research.
. Contribute to research interaction with industry with a view to
generate economic impact.
. Participate in supervision and review of PhD students.
. Contribute to the corporate development of NICTA through assisting in
the induction, training and mentoring of staff.
. Maintain high ethical and performance standards.
*KNOWLEDGE AND EXPERIENCE REQUIREMENTS
*. PhD qualification and competency in C++.
. A close fit to the research activities of SISM, with a background in
one or more of the following areas: photogrametry, 3D machine vision,
hyperspectral imaging and pattern recognition.
. University graduate and/or some postdoctoral experience in a
university and/or commercial research laboratory.
. High quality publication(s)/thesis and PhD research.
. Evidence of collaborative work and good quality research and potential
to develop individual research.
. Research of International standards as evidenced by journals, systems
built and reference letters.
. Commitment to participation in the supervision and teaching of
graduate students at PhD and honours level.
. Ability to act as a team member.
. Good programming and communication skills, oral and written.
. An understanding of equal opportunity principles and policies and a
commitment to their application in a R & D context.
Applications:
Please visit NICTA Careers to view the criteria essential to this role
and apply online ( http://nicta.com.au/director/careers.cfm )
Australian National University
National ICT Australia (NICTA), RSISE Bldg 115
Cnr. North and Daley Road, Canberra, ACT 0200, Australia
mail:Antonio.Ro...@nicta.com.au
http://users.rsise.anu.edu.au/~arobkell/
------------------------------
From: Chaker Larabi <lar...@sic.univ-poitiers.fr>
Subject: JOB : R&D Engineer - Univ of Poitiers - France
R&D Engineer announcement at ICONES (SIC, University of Poitiers)
DeadLine: 31/03/2007
mailto:lar...@sic.univ-poitiers.fr
ICONES team is a Computer Vision research team based at the SIC
laboratory of the University of Poitiers. We announce an available
position for a R&D Engineer within the framework of the IST EDCine
project.
EDCine will optimize and improve the DCI specification when it comes to
quality, robustness to transmission errors, content security,
stereoscopic imaging, live events and transcoding for digital archiving
and interactive access for various devices. All optimisation will be
validated through strong subjective and objective evaluation.
The R&D engineer will have to install a developing platform common to
the team working on the project starting from existing tools. The R&D
engineer will participate to the install of quality assessment protocols
and the management of assessment campaign. The redaction of technical
reports is also an important task.
Candidates should have a Master of Science or an Engineering diploma,
strong programming skills in C or C++.
Experience in one or more of the following fields will be particularly
appreciated:
- Image processing
- Image compression formats,
- Human visual system modelling
- Stereovision
- Objective and subjective quality assessment.
Good skills in English or French.
The engineer position is awarded for a one-year period (renewable),
starting as soon as possible.
------------------------------
From: "Comaniciu, Dorin \(SCR US\)" <dorin.c...@siemens.com>
Subject: JOB : Research Scientists - Siemens Corporate Research - Princeton US
The Integrated Data Systems Department of Siemens Corporate Research,
Princeton, NJ, has immediate openings for Research Scientists in the
areas of computer vision and medical imaging, statistical analysis and
estimation, 3D/4D segmentation, tracking and information fusion, pattern
recognition, graphical models, and applied machine learning.
In this position you will be conducting leading-edge research and
prototyping for medical and industrial applications.
We will only consider candidates holding a Ph.D. in CS, EE or related
fields with a strong, proven record in problem solving and research
(leading journal and conference publications).
Candidates should have C/C++ proficiency on MS Windows platform.
Candidates need to demonstrate strong interpersonal skills, be able to
work independently on problems, be an effective team player and be
willing to accept challenges and responsibility.
Siemens Corporate Research (SCR) is one of the world's premier research
labs for computer vision, medical imaging, and applied machine learning.
SCR is located in Princeton, USA, and provides a stimulating environment
for highly talented and self-motivated researchers. SCR excels in
transferring academic research into innovative products, and works in
close collaboration with clinical partners. The lab has more than 250
researchers and over 200 students involved in hundreds of University,
Clinical and Government collaborations. SCR is part of Siemens Corporate
Technology, a division comprising 2500+ research scientists in
Princeton, Berkeley, Erlangen, Munich, Berlin, Tokyo, Beijing, Shanghai,
Bangalore, St. Petersburg and Moscow.
Siemens is an Equal Opportunity Employer encouraging diversity in the
workplace.
Please forward your resume to
mailto:Shaohu...@siemens.com
mailto:Dorin.C...@siemens.com
------------------------------
From: "Alan Brett" <alan....@optasiamedical.com>
Subject: JOB : CV R&D Eng - Optasia Medical - Manchester, UK
Optasia Medical produces world leading image analysis software solutions
for the global Pharmaceutical and Medical Device Industries, with a
strong emphasis on tools that measure anatomical change in diseases such
as osteoporosis, osteoarthritis and rheumatoid arthritis. We are now
looking for scientists with a background in statistical model-based
vision techniques to compliment our R&D team. This appointment is
indicative of significant growth plans in line with a rapid expansion of
our operations.
The Role:
Your role will be primarily to analyse, research, design and implement
new image analysis algorithms and applications, and to support existing
applications by using and extending our core image analysis software
platform. There's a real opportunity to explore new ways of measuring
disease as well as bring automation to current measurements through
novel and sophisticated image analysis algorithms. Additionally, you
will support technical consultants in capturing user requirements and
providing resource estimates.
Essential Candidate Requirements:
* A PhD qualification in computer vision or image processing / analysis
(ideally with experience of medical image analysis research).
* Adept in statistical model-based vision techniques.
* High level and evidence based problem-solving, team-working and
communication skills.
* An experienced programmer (using Matlab or C++ / C# would be highly
desirable).
Please send a covering letter clearly demonstrating how you and your
background specifically match our key requirements described above,
together with your current CV to mailto:car...@optasiamedical.com .
For more information visit our website http://www.optasiamedical.com .
------------------------------
From: Du Huynh <d...@csse.uwa.edu.au>
Subject: JOB : Post-doc - Univ of W Australia - Australia
Research Associate (REF: 1698)
* School of Computer Science and Software Engineering
* 3 year full-time appointment to commence immediately
* Closing Date: 30 March 2007
A highly motivated Research Associate is sought to work on a markerless
motion capture project funded under the Discovery Projects grant scheme
of the Australian Research Council. The successful candidate will work
with Assoc. Prof. Mohammed Bennamoun, Dr. Du Huynh, and Prof. Robyn
Owens and will be part of the computer vision group at the School of
Computer Science and Software Engineering. The main responsibilities of
the candidate include: research, analyse, and implement visual tracking
algorithms, conduct experiments, and write research reports. Preference
will be given to candidates who have a track record of publications in
international computer vision conferences and journals, strong
mathematics background, and good programming and communication skills.
This position is open to overseas applications. The successful candidate
must be willing to relocate to Perth, Australia. Airfare and relocation
costs of the candidate and family will be negotiable.
Interested applicants should refer to the website
https://www.his.admin.uwa.edu.au/jobvacs/external/academic/ads.htm for
the application procedure.
More information about the position can be found on
http://www.csse.uwa.edu.au/~du/vacancy.html or obtained by contacting
mailto:m.ben...@csse.uwa.edu.au , mailto:d...@csse.uwa.edu , or
mailto:robyn...@uwa.edu.au . Please ensure that you quote the reference
number on the subject line of your email.
------------------------------
From: "D.Song" <D.S...@open.ac.uk>
Subject: JOB : Postdocs and PhD studentships - The Open University - UK
Research posts in the area of multimedia search (postdocs and
studentships) at the Multimedia and Information Systems Group of the
Knowledge Media Institute, The Open University, UK.
see http://kmi.open.ac.uk/jobs/index.cfm#3444
------------------------------
From: Aaron Sloman <A.Sl...@cs.bham.ac.uk>
Subject: JOB : Research Fellow - Univ of Birmingham - UK
Applications are required if possible by 14 March, though we may be able
to process late applications if selection has not gone too far.
Full details, including application instructions, are available here:
http://www.cs.bham.ac.uk/research/projects/cosy/rf07/
SUMMARY:
Research Fellow (post-doc)
Cognitive Robotics Project
School of Computer Science
Tasks: Planning under uncertainty with 3-D vision and object
manipulation in a multi-capability robot
Requirement: PhD or equivalent experience
Start date: as soon as possible.
Project started: Sept 2004
Project ends: Aug 2008
[But follow on projects are being planned]
Applications are invited for a Research Fellow to work on an EC-Funded
project: CoSy: Cognitive Systems for Cognitive Assistants. This is a
very ambitious multi-disciplinary project in which we are working to
reintegrate some of the efforts in different areas of AI and Cognitive
Science, notably cognitive architectures, planning, reasoning, robotics,
computer vision, natural language understanding, cognitive psychology
and machine learning.
This post is an addition to the existing CoSy team at Birmingham,
comprising Jeremy Wyatt and Aaron Sloman (Co-PIs), three
research-fellows (Nick Hawes, Somboon Hongeng, Michael Zillich) and a
PhD student (Marek Kopicki). Dr. Richard Dearden is also associated with
the project.
You will specifically be required to work on reasoning and learning
about sensing and perceptual processing in a robot able to manipulate
objects, with an emphasis on visual processing. The goal of the work
will be to develop new sequential decision making methods for choosing
sensing actions and making inferences about a scene when the robot has
to make decisions about where to look, and what visual processing to
perform. These methods are likely to involve planning (both symbolic and
probabilistic approaches are relevant), learning for sequential decision
making (e.g. reinforcement learning), and uncertain reasoning (e.g.
Bayesian reasoning for fusion of visual processing results).
Applicants should hold, or be working towards the achievement of a PhD
in Computer Science, AI, Cognitive Science, Engineering or related
subject OR have equivalent research experience in robotics/vision
research and linux expertise.
Research expertise in at least one area of planning or learning for
sequential decision making is essential. You will also have a track
record of strong publications in at least one of the following areas:
* Uncertain reasoning and planning
* Machine learning and statistical inference
* Computer vision
* Symbolic reasoning and planning
You will need excellent programming skills, in C/C++ or Java, together
with the ability to engineer software to very high standards of
reliability. You will work in a team of six researchers at Birmingham
and along with partner groups in six other universities, working on an
ambitious interdisciplinary EC-funded robotic project described at the
CoSy web sites: www.cognitivesystems.org ,
www.cs.bham.ac.uk/research/projects/cosy/
You can find further particulars at
http://www.cs.bham.ac.uk/research/projects/cosy/rf07/ although it would
be much more informative to mail us for a full description of the
problems.
Starting salary in the range of £32,795 to £39,160 a year (potential
progression on performance once in post to £44,074 a year), or in the
range of £24,402 to £31,840 (potential progression once in post to
£33,799 a year). This post is available from March 2007 until 28
February 2008 in the first instance, however it is normal, and expected,
that the post will be extended for the full duration of the project (31
August 2008).
Informal enquiries preferaby by email to:
Dr Jeremy Wyatt email: J.L....@cs.bham.ac.uk
tel:- +44 121 414 4788 or to
Prof Aaron Sloman email: A.Sl...@cs.bham.ac.uk
tel:- +44 121 414 4775 or to
Dr Richard Dearden, email: R.W.D...@cs.bham.ac.uk
Closing date: 14 March 2007
For application instructions please see
http://www.cs.bham.ac.uk/research/projects/cosy/rf07/
Reference: S43099
Formail Details from +44 121 415 9000 or www.hr.bham.ac.uk/jobs
HR, University of Birmingham, Edgbaston, Birmingham B15 2TT
A University of Fairness and Diversity
------------------------------
From: "Comaniciu, Dorin \(SCR US\)" <dorin.c...@siemens.com>
Subject: JOB : Internships - Siemens Corporate Research - NJ, USA
Several summer internship positions at PhD level are available in the
Integrated Data Systems Department at Siemens Corporate Research, Inc.,
Princeton, New Jersey.
Our focus is to exploit large collections of data to build robust vision
applications.
You will have the opportunity to test your computer vision and machine
learning knowledge in a challenging problem-solving environment. You
will be encouraged to think out of the box, innovate and find solutions
to real-life problems.
The candidates should have a proven background in applied machine
learning, graphical models, pattern recognition, tracking and
information fusion, shape inference, 3D/4D segmentation, and robust
statistics.
Candidates should have C/C++ proficiency on MS Windows platform.
Siemens Corporate Research (SCR) is one of the world's premier research
labs for computer vision, medical imaging, and applied machine learning.
SCR is located in Princeton, USA, and provides a stimulating environment
for highly talented and self-motivated researchers. SCR excels in
transferring academic research into innovative products, and works in
close collaboration with clinical partners. The lab has more than 250
researchers and over 200 students involved in hundreds of University,
Clinical and Government collaborations. SCR is part of Siemens Corporate
Technology, a division comprising 2500+ research scientists in
Princeton, Berkeley, Erlangen, Munich, Berlin, Tokyo, Beijing, Shanghai,
Bangalore, St. Petersburg and Moscow.
Siemens is an Equal Opportunity Employer encouraging diversity in the
workplace.
Please forward your resume to:
mailto:Shaohu...@siemens.com
mailto:Dorin.C...@siemens.com
------------------------------
From: "Elli Angelopoulou" <el...@i5.informatik.uni-erlangen.de>
Subject: CFP : Beyond Multiview Geometry - Minneapolis, MN - 19MAR2007
C A L L F O R P A P E R S
IEEE International Workshop on
BEYOND MULTIVIEW GEOMETRY:
Robust Estimation and Organization of Shapes from Multiple Cues
in conjunction with CVPR
June 22, 2007, Minneapolis, MN
http://www.cs.stevens.edu/~bmgcvpr/
Geometry-based methods such as stereo and structure from motion have
matured over the last decade. Commercial systems now exist that reliably
estimate camera calibration and motion from movies. However, these
methods have had less success at 3D shape estimation and the
organization of 3D data into coherent shapes - except for tightly
constrained problems ( e.g., architectural scenes or multi-camera
calibrated stereo). This workshop will focus on how - and to what extent
- these methods' limitations can be transcended. Can we obtain high
accuracy, dense, and robust shape/object estimates on fairly general
scenes? No single method will suffice for this, nor will active methods
such as laser scanning. To estimate and organize accurate shapes for
general scenes, it will be necessary to combine geometry with cues such
as texture, specularity and focus, to estimate and exploit illumination
and reflectance models, to organize shapes based on differential
geometry and topology, and to explore new sensing methodologies. The
workshop will emphasize methods that achieve robustness on real
application areas through exploiting such techniques, relying only on
relatively general domain constraints.
Topics of Interest (include but are not limited to):
* Combining geometry and reflectance/illumination information
* Multi-cue registration
* Organizing 3D surfaces from unorganized images.
* Exploiting diff. geometry, topology etc. to organize shape
* Illumination estimation and its use in shape estimation
* Robust sensor fusion
* High level shape representations
* Novel sensors design which contribute in multiple cue analysis
Important Deadlines:
Full Paper Submission: March 19, 2007
Notification of Acceptance: April 18, 2007
Final Papers Due: April 27, 2007
Paper Submission and Other Details:
http://www.cs.stevens.edu/~bmgcvpr/
Organizing Committee:
John Oliensis, Stevens Insitute of Technology, USA
Elli Angelopoulou, University of Erlangen-Nuremberg, Germany
George Kamberov, Stevens Insitute of Technology, USA
Quynh Dinh, Stevens Insitute of Technology, USA
Program Committee:
Roberto Cipolla, University of Cambridge, UK
Tamal Dey, Ohio State University, USA
Paolo Favaro, Heriot-Watt University, UK
Martial Hebert, Carnegie Mellon University, USA
Aaron Hertzmann, University of Toronto, Canada
Joachim Hornegger, University of Erlangen-Nuremberg, Germany
Gerda Kamberova, Hofstra University, USA
Kiriakos Kutulakos, University of Toronto, Canada
Michael Langer, McGill University, Canada
Sang Wook Lee, Sogang University, Korea
Tomas Pajdla, Czech Technical University, Czech Republic
Szymon Rusinkiewicz, Princeton University, USA
Dimitris Samaras, Stony Brook University, USA
Radim Sara, Czech Technical University, Czech Republic
Yoav Schechner, Technion - Israel Institute of Technology, Israel
Gregory Slabaugh, Siemens Corporate Research, USA
Stefano Soatto, University of California at Los Angeles, USA
Gabriel Taubin, Brown University, USA
------------------------------
From: Qiang Ji <q...@ecse.rpi.edu>
Subject: CFP : CRV VideoRec'07 WS - Montreal, Canada - 10APR2007
International workshop on Video Processing and Recognition - VideoRec'07
(Jointly with Canadian Conference on Computer & Robot Vision - CRV'07)
May 28-30, Montreal, Canada
Marriott Chateau Champlain
http://www.computer-vision.org/VideoRec07
Call for Tier II submissiosns (posters, demos, industrial, student
projects, late papers)
Deadline: April 10, 2007
Notification: April 17, 2007
Finals: April 30, 2007
Note: Accepted Tier II submission will be presented at the poster/demo
session, which will be held concurrently with the poster session of
joint conferences. They will thus have the same exposure to the
attendees of all joint conferences as other workshop papers. They will
also be included with the links at the workshop website.
Details and submission instructions:
http://www.computer-vision.org/VideoRec07/authors.html
(By emailing to Program Chaira or by uploading at
http://www.computer-vision.org/4authors/submit/index.php )
Dmitry Gorodnichy, Robert Laganier, Qiang Ji
VideoRec'07 Organizer and Program Chairs
------------------------------
From: "tav...@fe.up.pt" <tav...@fe.up.pt>
Subject: CFP : ECCOMAS VipIMAGE 2007 - Abstracts submission extended to 31MAR07
International ECCOMAS Thematic Conference
VipIMAGE 2007 - I ECCOMAS THEMATIC
CONFERENCE ON COMPUTATIONAL VISION AND MEDICAL IMAGE PROCESSING
17-19th October 2007, FEUP, Porto, Portugal
http://www.fe.up.pt/VIPIMAGE
The Organizing Committee of VipMAGE has decided to extend the submission
period in two weeks (March 31, 2007).
More details regarding VipIMAGE can be found in the conference website:
http://www.fe.up.pt/VIPIMAGE
We are looking forward to see you in Porto next October.
Important dates
Submission of extended abstracts: March 31, 2007;
Authors Notification: April 15, 2007;
Lectures and Final Papers: May 15, 2007;
Early registration fee: May 31, 2007.
Invited Lectures
- Automatic Generation of Computer Models from Multi-modal Bio-medical
Imaging - Chandrajit Bajaj, USA
- Computational Bioimaging and Visualization - Chris Johnson, USA
- From Geometrical Models to Physiological Models of the Human Body -
Herv=E9 Delingette, France
- Latest advances in Cardiovascular Informatics - Ioannis A.
Kakadiaris, USA
- Robust Algorithms for Deformable Contours - Jorge S. Marques,
Portugal
- Image Sequence Evaluation - Juan J. Villanueva, Spain
- Fast Surface Segmentation and remeshing by finding geodesics -
Laurent Cohen, France
- Processing of Simultaneous acquisition of EEG and fMRI - Mario
Forjaz Secca, Portugal
- Automatic Construction of Statistical Shape Models using Non-Rigid
Registration - Tim Cootes, UK
- Theory of Digital Manifolds and its Applications to Medical Imaging
- Valentin Brimkov, USA & Reinhard Klette, NZ
------------------------------
From: "Bhanu Prasad" <bhan...@gmail.com>
Subject: CFP : IICAI-07 - India - 02APR2007
The *3rd Indian International Conference on Artificial Intelligence
(IICAI-07) *(website: http://www.iiconference.org ) will be held in
Pune, INDIA during December 17-19 2007. IICAI-07 is one of the major AI
events in the world. This conference focuses on all areas of AI and
related fields. We invite paper submissions. Please visit on the
conference website for more details.
Bhanu Prasad
IICAI-07 Chair
Department of Computer and Information Sciences
Florida A&M University, Tallahassee, FL 32307, USA
Email: bhan...@gmail.com
Phone: 850-412-7350
------------------------------
End of VISION-LIST digest 26.2
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