VISION-LIST digest 26.1 - [1/2]
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Today's Topics:
Q&A : The Computer Vision Bibliography
Q&A : ObjectVideo Virtual Video Tool
Q&A : Automated map conversion?
Q&A : Fingerprint data required
JOB : Video Research Scientist - ObjectVideo - Reston, VA
JOB : Video Software Engineer - ObjectVideo - Reston, VA
JOB : Lead Engineer/Team Leader - Cognex Corp - Natick MA
JOB : Postdoc/Research Engineer - IDIAP Research Inst - Switzerland
JOB : Researcher/Pstdoc/Interns - Xerox Labs - Europe
JOB : Research Fellow - Univ of Birmingham - Birmingham UK
JOB : Postdoc - Microsoft Research - Cambridge, UK
JOB : Post-doc - Univ of Alberta - Edmonton, Canada
JOB : PhD Studentship - Kingston Univ - UK
JOB : Intern - ObjectVideo - Reston, VA
JOB : Internships - Intuitive Surgical - Sunnyvale, CA
CFP : Call for book chapters - Springer-Verlag
CFP : CV Conference List
CFP : IJPRAI Special Issue - 01DEC2007
CFP : Adv Concepts for Intell Vision Sys - Netherlands - 09MAR2007
CFP : Optomechatronic CV Systems - Lausanne Switzerland - 01MAR2007
CFP : 2nd WS Eval of Articulated Human Motion and Pose - MN - 20APR2007
CFP : 3rd Int Sym on Visual Computing - Lake Tahoe, CA - 23MAR2007
CFP : 4th Projector-Camera Systems WS - MN - 22MAR2007
CFP : IEEE 1st Int Conf on Biometrics - Wash DC - 15MAY2007
CFP : Medical Imaging and Informatics - China - 15MAR2007
CFP : Medical IUA 2007 - Wales UK - 16APR2007
CFP : Wavelet Apps in Industrial Processing - Boston MA - 26FEB2007
REFS : CVonline visual neurophysiology subtree
----------------------------------------------------------------------
From: Keith Price <pr...@usc.edu>
Subject: Q&A : The Computer Vision Bibliography
Announcement:
My Computer Vision Bibliography has a new Official Mirror Site:
http://www.visionbib.com/bibliography/contents.html
This is in addition to the long time official location at
http://iris.usc.edu/Vision-Notes/bibliography/contents.html
Thanks
Keith Price
pr...@usc.edu
------------------------------
From: "Taylor, Geoff" <GTa...@ObjectVideo.com>
Subject: Q&A : ObjectVideo Virtual Video Tool
Spending hours troubleshooting active tracking algorithms? Need
ground-truthed crowd footage for your behavior analysis algorithm? Got
a great multi-camera algorithm but only one camera? The ObjectVideo
Virtual Video (OVVV) Tool is a low cost solution to these and many other
development hurdles.
OVVV streams realistic, real-time video from an interactive virtual
world based on a commercially available PC game. The tool is free and
all you provide is a PC running the game, which currently sells for less
than $20. OVVV has already proven itself valuable at ObjectVideo, and
our hope in distributing this tool is to stimulate a shared pool of low
cost, high quality simulated video resources for the whole computer
vision community.
Features of OVVV include:
* Synchronized video feeds from multiple static, active and omni cameras
* Precisely repeatable scenarios with known ground truth
* Controllable camera effects including pixel noise, radial distortion
and jitter
* Real-time streaming and camera control through the OVVV DirectShow
filter or C API
More information and downloads are available at
http://development.objectvideo.com , or mailto:gta...@objectvideo.com
ABOUT OBJECTVIDEO ( http://www.objectvideo.com ):
ObjectVideo develops intelligent video security software to solve
today's complex security challenges. Its computer vision technology adds
automated threat detection, identification and notification capabilities
to surveillance systems to significantly reduce false alarm rates and
markedly increase the effectiveness of security professionals. Founded
in 1998 and headquartered in Reston, Virginia, ObjectVideo works with
government and commercial organizations.
------------------------------
From: "Murugesan P" <murug...@infotechsw.com>
Subject: Q&A : Automated map conversion?
I am currently working with private organisation as an Industrial
Engineer in Telecom GIS. I have been concentrating on Process
improvement activities by introducing modern technologies into the
field. We do provide the solutions for all kind of map conversion which
is done by using engineers manually. I would like to know is there any
automatic techniques available for source map reading and converting
these maps ( like Line sensors, automatic line scanning camera).
Many thanks in advance,
With Regards,
Murugesan P., Industrial Engineer
------------------------------
From: "mokhled tarwneh" <mok...@hotmail.com>
Subject: Q&A : Fingerprint data required
I would like to request if anybody has a list, or some material to
fingerprint image analysis readings and fingerprint image quality
assessment wich I could use to continue my reserach in this field. I am
interested in both issues of analysis and quality assessment.
Thanks,
Mokhled S. AlTarawneh, PhD Student
School of Electrical, Electronic & Computer Engineering
Merz Court, University of Newcastle upon Tyne NE1 7RU
Mobile:+447851399104
------------------------------
From: "Kalagher, Melissa" <MKal...@ObjectVideo.com>
Subject: JOB : Video Research Scientist - ObjectVideo - Reston, VA
Are you a computer vision, image processing, pattern recognition,
graphics or robotics expert? Are you infatuated with image analysis and
video understanding, or how new video sensors can aid these tasks? Are
you experienced with calibration, detection, tracking, classification,
object recognition, motion analysis, action/event detection and
recognition, anomaly detection or sensor fusion?
Are you interested in applying your expertise to figure out when
dangerous or threatening events happen in CCTV video, such as protecting
borders, perimeters, ships, cockpits of commercial airliners or warning
highway traffic of delays or dangers ahead? Or would you like to
analyze video for market research? How about automatically registering
video feeds with satellite images, learning and classifying the behavior
of the objects in the scene, or analyzing large distributed sensor
networks?
If these challenges excite you we would love to hear from you. We are
currently searching for several Video Research Scientists to join our
growing research and development team. Successful candidates will have:
Requirements
* A Ph.D. in Computer Engineering or Computer Science.
* 3+ years experience in image processing, real-time computer
vision software development, and statistical data analysis.
* Current knowledge of research literature in Computer Vision with
a history of publication in the field.
* Strong understanding of state-of-the-art computer vision
research.
* Experience in scientific analysis using Matlab analysis tools.
* Experience in software engineering and product building using
object-oriented design principles using C++.
* Familiarity with Windows' .NET platform (C#/C++) is preferred.
Send your resume to mailto:car...@objectvideo.com or visit us online
at http://www.objectvideo.com
ObjectVideo is an equal opportunity employer.
About ObjectVideo:
ObjectVideo is the leading provider of intelligent video software for
security, public safety, business intelligence gathering, process
improvement and other applications.
Originally founded in 1998 by world-renowned scientists and program
managers from the Defense Advanced Research Projects Agency (DARPA) and
headquartered in Reston, VA, ObjectVideo is a private company backed by
leading venture capital partners. The company employs 100+
highly-skilled professionals and is led by an experienced management
team. Nearly 40% of the company's research and development staff are
PhD's, known internationally for their research in the field of computer
vision.
ObjectVideo products are field-proven and currently covering more
perimeter miles than any intelligent video software product. The company
markets and sells its products through a Video Intelligent Partner (VIP)
network of OEMs, resellers, and leading security solution integrators.
Currently ObjectVideo has more than 177 paid customers with deployments
in 235 locations across 18 countries, providing intelligence on more
than 87,000 video channels.
------------------------------
From: "Kalagher, Melissa" <MKal...@ObjectVideo.com>
Subject: JOB : Video Software Engineer - ObjectVideo - Reston, VA
Are you a computer vision, image processing, pattern recognition,
graphics or robotics enthusiast? Are you infatuated with image analysis
and video understanding, or how new video sensors can aid these tasks?
Are you experienced with calibration, detection, tracking,
classification, object recognition, motion analysis, action/event
detection and recognition, anomaly detection or sensor fusion?
Are you interested in applying your expertise to figure out when
dangerous or threatening events happen in CCTV video, such as protecting
borders, perimeters, ships, cockpits of commercial airliners or warning
highway traffic of delays or dangers ahead? Or would you like to
analyze video for market research? How about automatically registering
video feeds with satellite images, learning and classifying the behavior
of the objects in the scene, or analyzing large distributed sensor
networks?
If these challenges excite you we would love to hear from you. We are
currently searching for several Video Software Engineers to join our
growing research and development team. Successful candidates will have:
* A Bachelors or Masters degree in Computer Science, Computer
Engineering, or related field or equivalent experience.
* 3+ years experience in software development.
* Solid experience in software engineering and product building
using C++ and object-oriented design principles.
* Development experience in MS .NET (C#).
* Familiarity with Java, GUI design, Matlab and/or image
processing is preferred.
* Experience in image and video processing, and statistical data
analysis is desired.
Send your resume to mailto:car...@objectvideo.com or visit us online
at http://www.objectvideo.com
ObjectVideo is an equal opportunity employer.
------------------------------
From: "Page, Kristin" <kristi...@cognex.com>
Subject: JOB : Lead Engineer/Team Leader - Cognex Corp - Natick MA
Ref # 07-R-18
Cognex Corporation - Natick MA
Core Vision Technology
This group is seeking a team leader/lead engineer to lead core vision
technology development in the area of industrial machine vision.
Industrial machine vision technology is used for analyzing images
(intensity, color, x-ray and depth-data) to detect objects, make
measurements, register parts, inspect for defects, and to read encoded
data. Technology development is constantly underway to expand our areas
of application, improve performance, discover new algorithms, and to
make use of new hardware, processing power, and operating systems.
Development is done primarily in C and C++. Engineers in this group
typically have experience with image analysis, machine vision, or signal
processing.
JOB SUMMARY:
This position is for a team leader/manager within the PC Vision group,
responsible for designing and developing the most sophisticated Machine
Vision software in the world. Our software is used to align, measure,
recognize, and inspect all types of products from computer chips to
chocolate chip cookies. Our systems are used in many different
industries including consumer goods, automotive, pharmaceuticals, and
electronics. This job requires team leadership and people management
skills.
ESSENTIAL FUNCTIONS:
1. Imagine, design, develop, debug, and code C and C++ machine
vision software.
2. Build efficient, real-time software and related libraries to
run either on a PC or DSP.
3. Invent, implement and optimize new vision algorithms.
4. Interact with internal or external customers.
5. Oversee development through design review process and hands on
problem solving.
6. Take responsibility for technical quality of staff's output and
timely completion of development tasks.
Knowledge, Skills, and Abilities:
1. Strong software engineering skills, and experience in
production coding.
2. Able to take the lead in solving difficult technical
challenges.
3. Experience with signal processing and/or computer vision
preferred.
4. Industrial programming experience desirable.
5. Experience in applications of computer vision in manufacturing
also of interest.
6. Creative, motivated and looking to work hard for an aggressive
growth company.
7. Possess and promote skills in decision-making, negotiation,
problem analysis, and risk assessment.
8. Establish deliverables, create and maintain schedules,
communicate progress, decisions, and issues.
Minimum education and work experience required:
1. MS or PhD from a top engineering school in EE, CS or equivalent
2. 8+ years experience in relevant, high-tech, industrial jobs in
lead role and coding in C or C++
------------------------------
From: Jean-Marc Odobez <odo...@idiap.ch>
Subject: JOB : Postdoc/Research Engineer - IDIAP Research Inst - Switzerland
The IDIAP Research Institute ( http://idiap.epfl.ch or
http://www.idiap.ch ), an EPFL laboratory (Swiss Federal Insitute of
Technology, Lausanne) seeks immediateley qualified candidates for either
a postdoctoral position
or
an engineer
in the field of computer vision and machine learning.
CONTEXT :
The research will be conducted in the context of the CARETAKER project,
a multi-site project funded by the European Community (8 partners in 7
countries), that started in 2006. The project aims at extracting
structured knowledge (events defined through ontologies) from multimedia
collections recorded over a network of cameras and microphones (in real
public transportation sites). In this project, IDIAP will investigate
and develop principled methods based on generative and discriminative
(conditional random field, margin-based) modeling to address various
issues in multi-person tracking, event recognition, and visual data
mining (data fusion, uncertainty handling, lack or small amount of
labeled training data, multi-person complex events, unusual event
detection, etc).
REQUIREMENT
The recruited person will join a team of one postdoc and 2 PhD students,
and will be involved in the research and software development of the
CARETAKER project. She/he should have a strong background in
statistics, applied mathematics, and computer vision. Experience in one
or several of the following areas is required:
- software development
- computer vision and tracking
- statistical learning
- knowledge modeling
- event recognition and discovery
The applicant should be familiar with C/C++ programming under a
Unix/Linux environment.
Starting date: immediately
Contract duration: 12 months
About IDIAP:
IDIAP is a research institute associated with EPFL (Swiss Federal
Institute of Technology, Lausanne) active in the fields of information
retrieval, speech, machine learning and vision ( http://www.idiap.ch ).
IDIAP is located in the town of Martigny in Valais, a scenic region in
the south of Switzerland, surrounded by the highest mountains of Europe,
and offering exciting recreational activities, including hiking,
climbing and skiing, as well as varied cultural activities.
IDIAP is an equal opportunity employer and offers competitive salaries
and conditions at all levels in a young, dynamic, and multicultural
environment.
Although IDIAP is located in the French part of Switzerland, English is
the main working language at IDIAP. Free French courses are also
provided.
APPLICATION:
Interested candidates should submit their application (motivation
letter, detailed CV, name of three references) by email to
mailto:jo...@idiap.ch . For further details please contact:
Jean-Marc Odobez ( mailto:Jean-Mar...@idiap.ch )
Tel : +41 (0)27 721 77 26
or
Daniel Gatica-Perez ( mailto:gat...@idiap.ch )
Tel : +41 (0)27 721 77 33
------------------------------
From: "Marchesotti, Luca" <Luca.Mar...@xrce.xerox.com>
Subject: JOB : Researcher/Pstdoc/Interns - Xerox Labs - Europe
Xerox Research Centre Europe's Visual Content Area is an expanding team,
specialized in visual content quality and understanding. Our main
research themes are image categorization, image enhancement, quality
assessment and document imaging. We are currently looking for talented
imaging researchers who share with us the objective of making everyday
interaction with visual content appealing, simple and effective. All
positions are located in Grenoble, France.
Positions currently open:
- Researcher: Applicant should hold a PhD in Image Processing, Computer
Vision, Machine Learning or related field. Responsibilities include
inventing, implementing and evaluating novel imaging tools around image
quality and understanding, contributing to government funded and
academic research projects and also to setting and achieving the group's
long-term research goals.
- Postdoctoral position: Xerox award-winning Generic Visual
Categorization (GVC) shows top-level performance in assigning one or
more labels to an image. One of our research challenges is to extend our
categorizer to cope with massive quantities of data and a large number
of categories and to handle combined text and image data. Applicant
should have a PhD in Computer Vision, Machine Learning or Information
Retrieval.
- Internships: We are looking for candidates for internship positions in
Image Categorization, Object Recognition, Image Enhancement, Image
Quality Assessment and Document Imaging. The internships target at Ph.D.
and M.Sc. students in Computer Vision and Image Processing. These
positions are available throughout the whole year and typically last
around six months.
You can find more details on our web:
http://www.xrce.xerox.com/jobs.html
If you are interested in applying please email your CV, a covering
letter and publication list, with message subject "ViC position"
to mailto:xrce-ca...@xrce.xerox.com .
Dr. Luca Marchesotti, Research Engineer
Xerox Research Centre Europe, 6, chemin de Maupertuis, 38240 Meylan
FRANCE
Phone : +33 4 76 61 50 74, Fax : +33 4 76 61 51 99
mailto:Luca.Mar...@xrce.xerox.com
------------------------------
From: Aaron Sloman <A.Sl...@cs.bham.ac.uk>
Subject: JOB : Research Fellow - Univ of Birmingham - Birmingham UK
Applications are required as soon as possible, preferably mid February,
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: 3-D vision, planning and object manipulation
in a multi-capability robot
Requirement: PhD or equivalent experience
Project started: Sept 2004
Applications are invited for a Research Fellow to work on an EC-Funded
project: CoSy: Cognitive Systems for Cognitive Assistants.
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).
You will 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 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.
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. You will have a strong background in one
or more of the following areas:
o Computer vision
o Uncertain reasoning and planning
o Machine learning and statistical inference
o Symbolic reasoning and planning
You will need excellent programming skills, in C/C++ or Java, and
preferably experience in at least one AI language, together with the
ability to engineer software to very high standards of reliability. You
will work in a team of six researchers at Birmingham, along with
partner groups in six other universities, working on an ambitious
interdisciplinary EC-funded robotic project described at the CoSy web
sites:
http://www.cognitivesystems.org
http://www.cs.bham.ac.uk/research/projects/cosy/
You will also be expected to contribute to the management of the group,
grant writing, and setting the research agenda for the future work of
the group. Strong communication and management skills are therefore also
essential. Please check those web sites for up to date information about
the project and this post before applying.
Starting salary in the range of (GBP)£32,471 to £34,448 a year
(potential progression on performance once in post to £43,638 a year),
or in the range of £24,161 to £31,525 (potential progression once in
post to £33,465 a year). This post is available from March 2007 until 28
February 2008 in the first instance, however it is anticipated that the
post will be extended for the full duration of the project (31 August
2008).
Informal enquiries to
Dr Jeremy Wyatt (preferably by) email: J.L....@cs.bham.ac.uk
tel:- +44 121 414 4788
or to
Prof Aaron Sloman (preferably by) email: A.Sl...@cs.bham.ac.uk
tel:- +44 121 414 4775/+44 121 472 8581 (home)
------------------------------
From: Andrew Blake <abl...@microsoft.com>
Subject: JOB : Postdoc - Microsoft Research - Cambridge, UK
Postdoc Opportunities at Microsoft Research Cambridge
Call for postdoc applications in all areas of the lab's research.
See especially research on computer vision at
http://research.microsoft.com/vision/cambridge
Closing date March 1.
For information on applying please go to
http://research.microsoft.com/cambridge/ and click the Postdocs button.
------------------------------
From: "Hong Zhang" <zh...@cs.ualberta.ca>
Subject: JOB : Post-doc - Univ of Alberta - Edmonton, Canada
The Centre for Intelligent Mining Systems (CIMS) in the Department of
Computing Science at the University of Alberta, Edmonton, Canada, is
seeking qualified individuals to fill one or more post-doctoral
positions to conduct research in the area of image processing and - in
particular, image segmentation and granulometry - for industrial
applications. The post-doctoral fellowship will have an initial term of
one-year, and is renewable for the second year. The post-doc researcher
will be a part of an NSERC Industrial Research Chair Program, funded by
the federal and provincial governments, and industrial partners, on
developing intelligent sensing technologies for monitoring oil sand
mining operations (see http://www.cs.ualberta.ca/~cims ). Candidates
should have a Ph.D. in CS or EE, with specialization in image processing
or computer vision. Previous experience with Matlab and OpenCV/IPP, and
strong programming skills in C/C++ in a Linux/Unix environment are
highly desirable. Interested individuals can submit their resumes to
Ms. Melanie Calvert, CIMS Administrative Assistant, at
mailto:mcal...@cs.ualberta.ca .
------------------------------
From: Dimitrios Makris <d.ma...@kingston.ac.uk>
Subject: JOB : PhD Studentship - Kingston Univ - UK
PhD Studentship in Computer Vision
3D Human Pose Estimation
Digital Imaging Research Centre
Kingston University
Our research centre was recently awarded an EPSRC grant for the Pose
Recovery in Context-Specific Scenarios (PRoCeSS) whose aim is to advance
the state-of-the-art in 3D Human Pose Recovery i.e. determining the
position and orientation of articulated parts of the human body. The
PRoCeSS system will be useful in applications such as the coverage and
the analysis of sporting events, human-computer interface and visual
surveillance.
A 3-year fully-funded PhD studentship is available. The studentship will
cover fees (UK/EU Level) and includes a stipend of £14600 per year as
well as provision for travel to conferences. Applicants must have at
least a first degree (minimum 2i or equivalent) in Computer Science,
Engineering, Physics, Mathematics, or related discipline. Programming
skills and/or mathematical background is desirable, while previous
experience of digital signal processing or computer vision is
advantageous. The successful applicant will be part of a research team
working on Human Body Modelling. He/she should be ready to start as soon
as possible. Informal queries can be directed to Dr Dimitrios Makris
( mailto:d.ma...@kingston.ac.uk , Tel: +44 (0) 20 8547 8282).
With more than about 17,000 students, Kingston University is now one of
the largest universities in southern England. The Digital Imaging
Research Centre ( http://www.kingston.ac.uk/dirc ) integrates relevant
computer vision and graphics research across the University and is
currently composed of 16 academic members, 6 research associates and 15
research students. DIRC expertise includes visual surveillance, sports
analysis, medical imaging and ambient intelligence.
Applying for the Studentship
http://www.kingston.ac.uk/postgraduate/courses/pdf/ku_postgrad_application_and_reference_form.pdf
Please return the application form above (marked Ref: PROCESS) academic CV,
references, copies of academic qualifications and all other required documentation
to:
Mrs B Tang, Research and Enterprise Officer
Kingston University, Faculty of Computing, Information Systems and Mathematics
Sopwith Building, Penrhyn Road, Kingston upon Thames, Surrey, KT1 2EE UK
mailto:b.t...@kingston.ac.uk
+44 (0)20 8547 7054
Please note that we may not be able to consider your application if all the
necessary documents are not submitted. We are unable to inform all the applicants
of their outcome, if you do not hear from us 6 weeks after the closing date,
your application has been unsuccessful.
Closing Date: 28th February
------------------------------
From: "Kalagher, Melissa" <MKal...@ObjectVideo.com>
Subject: JOB : Intern - ObjectVideo - Reston, VA
Are you experienced with calibration, detection, tracking,
classification, object recognition, motion analysis, action/event
detection and recognition, anomaly detection, multi-camera systems or
sensor fusion? Are you interested in analyzing and understanding video,
to protect borders, perimeters, ships, or warning highway traffic of
delays or dangers ahead? Or would you like to analyze video for market
research? How about automatically registering video feeds with
satellite images, learning and classifying the behavior of the objects
in the scene, or analyzing large distributed sensor networks? If you
have at least two years of relevant experience and these challenges
excite you we would love to hear from you. Send your resume to
mailto:car...@objectvideo.com or visit us online at
http://www.objectvideo.com
ObjectVideo is an equal opportunity employer.
------------------------------
From: "Zarina Yamat" <Zarina...@intusurg.com>
Subject: JOB : Internships - Intuitive Surgical - Sunnyvale, CA
PART-TIME INTERNSHIP
A part-time research internship position is available in Sunnyvale, CA. Starting time is flexible. Intuitive Surgical is the global leader in the rapidly emerging field of
robotic-assisted minimally invasive surgery. More information about the company can be found at the website: http://www.intuitivesurgical.com.
What You Will Work On:
* Infrastructure building for several research projects
* Quick system prototyping and testing
What You Will Gain:
* Opportunities to make potentially huge impact upon future-generations
of the world's most advanced robots in the medical market.
* To learn and practice driving state-of-the-art daVinci surgical robots
What We Expect From You:
* Graduate students in CS, EE or relevant engineering discipline.
* Capability of setting up and testing new vision hardware systems
* Fast prototyping with Matlab and C/C++ implementation.
* Capability of arranging his/her time for efficient delivery of assigned tasks
* Positively passionate about what you do.
REASEARCH INTERNSHIP
A research internship position is available in Sunnyvale, CA. Starting time is flexible. Intuitive Surgical is the global leader in the rapidly emerging field of
robotic-assisted minimally invasive surgery. More information about the company can be found at the website: http://www.intuitivesurgical.com.
What You Will Work On:
* Leading-edge research in image processing and computer vision for medical applications
* Quick system prototyping.
What You Will Gain:
* Opportunities to make potentially huge impact upon future-generations
of the world's most advanced robots in the medical market.
* To learn and practice driving state-of-the-art daVinci surgical robots
What We Expect From You:
* Senior graduate students in CS, EE or relevant engineering discipline.
* Capability of researching a large amount of existing publications
* Fast prototyping with Matlab and C/C++ implementation.
* Research background with stereo image correspondence and tracking.
* Positively passionate about what you do.
Our company is Intuitive Surgical based out of Sunnyvale, CA.
Applicants may submit their resume to mailto:zarina...@intusurg.com . Our
website is http://www.intuitivesurgical.com . Please let me know if you need
additional information.
Thank you,
Zarina Yamat, Staffing Specialist
Intuitive Surgical
1266 Kifer Road, Bldg 101, Sunnyvale, Ca 94086
------------------------------
From: "Bhanu Prasad" <bhan...@gmail.com>
Subject: CFP : Call for book chapters - Springer-Verlag
*Call for book Chapters*
Note: Papers are reviewed and accepted/rejected on first come first
served basis
The following two books are planned to be published by Springer-Verlag
during 2007/2008:
(1). Soft Computing Applications in Business
(2). Soft Computing Applications in Industry
We invite book chapter contributions. Please see the website:
http://www.bhanuprasad.org/chapters.html for more information.
Please feel free to contact me if you need additional information.
Sincerely,
Bhanu Prasad
Department of Computer and Information Sciences
Florida A&M University, Tallahassee, FL 32307, USA
Email: bhan...@gmail.com
Phone: 1-850-412-7350 Fax: 1-850-599-3221
------------------------------
From: Keith Price <pr...@usc.edu>
Subject: CFP : CV Conference List
Announcement:
The Computer vision conference list can be found at the official mirror
site:
http://conferences.visionbib.com/Iris-Conferences.html
in addition to the usual
http://iris.usc.edu/Information/Iris-Conferences.html
(which has had some instability due to hard disk errors).
Keith Price
pr...@usc.edu
------------------------------
From: "Mislav Grgic" <mislav...@gmail.com>
Subject: CFP : IJPRAI Special Issue - 01DEC2007
International Journal of Pattern Recognition
and Artificial Intelligence
Special Issue on
Facial Image Processing and Analysis
CALL FOR PAPERS
http://www.face-rec.org/ijprai/
International Journal of Pattern Recognition and Artificial Intelligence
(IJPRAI) is seeking original and unpublished manuscripts for a Special
Issue on Facial Image Processing and Analysis, scheduled for publication
in 1st Quarter 2009.
Face recognition systems are progressively becoming popular as means of
extracting biometric information. Face recognition has a critical role
in biometric systems and is attractive for numerous applications
including visual surveillance and security. Because of the general
public acceptance of face images on various documents, face recognition
has a great potential to become the next generation biometric technology
of choice. Face images are also the only biometric information available
in some legacy databases and international terrorist watch-lists and can
be acquired even without subjects' cooperation.
Though there has been a great deal of progress in face detection and
recognition in the last few years, many problems remain unsolved.
Research on face detection must confront with many challenging problems,
especially when dealing with outdoor illumination, pose variation with
large rotation angles, low image quality, low resolution, occlusion, and
background changes in complex real-life scenes. The design of face
recognition algorithms that are effective over a wide range of
viewpoints, complex outdoor lighting, occlusions, facial expressions,
and aging of subjects, is still a major area of research. Before one
claims that the facial image processing / analysis system is reliable,
rigorous testing and verification on real-world datasets must be
performed, including databases for face analysis and tracking in digital
video. 3D head model assisted recognition is another research area where
new solutions are urgently needed to enhance robustness of today's
recognition systems and enable real-time, face-oriented processing and
analysis of visual data. Thus, vigorous research is needed to solve such
outstanding challenging problems and propose advanced solutions and
systems for emerging applications of facial image processing and
analysis.
This special issue is particularly interested in recent progress in face
detection and recognition that explores emerging themes such as digital
video, 3D, near infrared, occlusion and disguise, long-term aging,
and/or the lack of sufficient training data. Submitted articles must not
have been previously published and must not be currently submitted for
publication elsewhere. Topics of interest include, but are not limited
to, the following:
New sensors or data sources:
o 3D-based face recognition
o Near infrared imaging for face recognition
o Video-based face recognition
Preprocessing:
o Image preprocessing for face detection / recognition
o Color-based facial image processing and analysis
o De-blurring and super-resolution for robust face
detection / recognition
Face and feature detection:
o Face detection for best-shot selection
o Facial feature detection and extraction
o 3D head modeling and face tracking
Methods:
o Subspace / kernel methods for face recognition
o Non-linear methods for face modeling
o Bionic face representation
o Ensemble learning for face classification
Key problems:
o Outdoor illumination
o Large pose variations
o Mid-term and long-term aging
o Occlusion and disguise
o Low quality and low resolution
o Generalization problem due to lack
of enough training examples
Dataset and evaluation:
o Challenging datasets
o Video-based datasets
o Statistical performance evaluation
Applications and other topics:
o Facial gesture recognition
o Real-time processing solutions and systems
o Face-based surveillance, biometrics,
and multimedia applications
o Face recognition in compressed domain
SUBMISSION PROCEDURE:
Manuscript should conform to the standard guidelines of the
International Journal of Pattern Recognition and Artificial
Intelligence. Instructions for formatting papers can be found in the
Guidelines for Contributors at
http://www.worldscinet.com/ijprai/mkt/guidelines.shtml Prospective
authors should submit an electronic copy of their complete manuscript
via IJPRAI online submission system
( http://www.editorialmanager.com/ijprai/ ) by December 1, 2007. "Facial
Image Processing and Analysis" special issue should be indicated in the
corresponding cover letter. All submitted papers will be reviewed by at
least three independent reviewers.
IMPORTANT DATES:
Manuscript submission deadline: December 1, 2007
First notification: March 15, 2008
Revised manuscript submission: June 30, 2008
Notification of final decision: September 15, 2008
Final manuscript due: November 1, 2008
Publication of the special issue: 1st Quarter 2009
Guest Editors:
Mislav Grgic
University of Zagreb, Zagreb, Croatia
http://www.vcl.fer.hr/mgrgic
Shiguang Shan
Chinese Academy of Sciences, Beijing, China
http://www.jdl.ac.cn/user/sgshan/index_en.htm
Rastislav Lukac
Epson Canada Ltd., Toronto, ON, Canada
http://www.colorimageprocessing.com
Harry Wechsler
George Mason University, Fairfax, VA, USA
http://cs.gmu.edu/~wechsler
Marian Stewart Bartlett
University of California, San Diego, La Jolla, CA, USA
http://mplab.ucsd.edu/~marni
------------------------------
From: Jacques Blanc-Talon <blan...@etca.fr>
Subject: CFP : Adv Concepts for Intell Vision Sys - Netherlands - 09MAR2007
Organization: MRIS
Acivs 2007
Advanced Concepts for Intelligent Vision Systems
August 28-31, 2007
Delft University, the Netherlands
http://acivs.org/acivs2007/
Lecture Notes in Computer Science
Sponsored by: Eurasip, IEEE Benelux Sig. Proc. Chapter, DSP Valley, Philips, Barco.
Acivs 2007 is a conference focusing on techniques for building adaptive,
intelligent, safe and secure imaging systems. Acivs 2007 will consist of
four days of lecture sessions, both regular (25 mns) and invited
presentations, and poster sessions. The proceedings will be published
by Springer Verlag in the Lecture Notes in Computer Science series.
Topics include (but are not limited to)
* Vision systems, including multi-camera systems
* Image and Video Processing
* Pattern Analysis
* Remote Sensing
* Still Image and Video Coding and Transmission
* System Architecture and Performance Evaluation
Both classical research papers and application papers are welcome.
IMPORTANT DEADLINES
March 9, 2007 Full paper submission
May 4, 2007 Notification of acceptance
May 25, 2007 Camera-ready papers due
May 25, 2007 Registration deadline for authors of
accepted papers
June 15, 2007 Early registration deadline
August 3, 2007 Late registration deadline
August 28-31, 2007 Acivs 2007
Steering Committee
Jacques Blanc-Talon, DGA/MRIS, Arcueil, France.
Wilfried Philips, Ghent University, Belgium.
Dan Popescu, CSIRO, Sydney, Australia.
Paul Scheunders, University of Antwerp, Belgium.
Program committee
Hamid Aghajan, Stanford University, Stanford, USA.
Fritz Albregtsen, University of Oslo, Oslo, Norway.
Marc Antonini, Université de Nice Sophia Antipolis, Nice, France.
Kenneth Barner, University of Delaware, Newark, USA.
Attila Baskurt, INSA Lyon, Villeurbanne, France.
Laure Blanc-Feraud, CNRS, Sophia-Antipolis, France.
Philippe Bolon, University of Savoie, Annecy, France.
Salah Bourennane, EGIM, Marseille, France.
Patrick Bouthemy, IRISA/INRIA, Rennes, France.
Jocelyn Chanussot, INPG, Grenoble, France.
Pamela Cosman, University of California at San Diego, La Jolla, USA.
Yves D'Asseler, Ghent University, Ghent, Belgium.
Jennifer Davidson, Iowa State University, Ames, USA.
Arturo de la Escalera Hueso, Universidad Carlos III de Madrid, Leganes,
Spain.
Ricardo de Queiroz, Universidade de Brasilia, Brasilia, Brazil.
Christine Fernandez-Maloigne, Université de Poitiers, Chasseneuil,
France.
Don Fraser, University of New South Wales, Canberra, Australia.
Theo Gevers, University of Amsterdam, Amsterdam, The Netherlands.
Jerome Gilles, CEP, Arcueil, France.
Georgy Gimel'farb, The University of Auckland, Auckland, New Zealand.
Daniele Giusto, University of Cagliari, Cagliari, Italy.
Dimitris Iakovidis, University of Athens, Athens, Greece.
John Illingworth, University of Surrey, Guildford, UK.
Frederic Jurie, CNRS - INRIA, Saint Ismier, France.
Andrzej Kasinski, Poznan University of Technology, Poznan, Poland.
Richard Kleihorst, NXP Semiconductors Research, Eindhoven, the
Netherlands.
Murat Kunt, EPFL, Lausanne, Switzerland.
Hideo Kuroda, Nagasaki University, Nagasaki, Japan.
Kenneth Lam, The Hong Kong Polytechnic University, Hong Kong, China.
Henri Maitre, GET-ENST, Paris, France.
Xavier Maldague, Université de Laval, Québec, Canada.
Eric Marchand, IRISA/INRIA, Rennes, France.
Gerard Medioni, USC/IRIS, Los Angeles, USA.
Fabrice Meriaudeau, IUT Le Creusot, Le Creusot, France.
Alfred Mertins, Universität zu Lübeck, Luebeck, Germany.
Rafael Molina, Universidad de Granada, Granada, Spain.
Adrian Munteanu, Vrije Universiteit Brussel, Brussels, Belgium.
Vittorio Murino, Università degli Studi di Verona, Verona, Italy.
Edgard Nyssen, Vrije Universiteit Brussel, Brussels, Belgium.
Nikos Paragios, Ecole Centrale de Paris, Chatenay-Malabry, France.
Jussi Parkkinen, University of Joensuu, Joensuu, Finland.
Fernando Pereira, Instituto Superior Técnico, Lisboa, Portugal.
Stuart Perry, Canon Information Systems Research Australia,
Sydney, Australia.
Beatrice Pesquet-Popescu, ENST, Paris, France.
Matti Pietikainen, University of Oulu, Oulu, Finland.
Aleksandra Pizurica, Ghent University, Ghent, Belgium.
Gianni Ramponi, Trieste University, Trieste, Italy.
Paolo Remagnino, Faculty of Technology, Kingston University, Surrey, UK.
Joseph Ronsin, INSA, Rennes, France.
Luis Salgado Alvarez de Sotomayor, Universidad Politécnica de Madrid,
Madrid, Spain.
Hugues Talbot, ESIEE, Noisy-le-Grand, France.
Kenneth Tobin, Oak Ridge National Laboratory, Oak Ridge, USA.
Frederic Truchetet, Université de Bourgogne, Le Creusot, France.
Dimitri Van De Ville, EPFL, Lausanne, Switzerland.
Peter Veelaert, University College Ghent, Ghent, Belgium.
------------------------------
From: Jonathan Kofman <jko...@engmail.uwaterloo.ca>
Subject: CFP : Optomechatronic CV Systems - Lausanne Switzerland - 01MAR2007
Optomechatronic Computer-Vision Systems
http://www.isot07.org/files/cfp/CFP_4_v4.pdf
International Symposium on Optomechatronic Technologies (ISOT 2007),
October 8-10, 2007,
Beaulieu, Lausanne, Switzerland.
http://www.isot07.org/index.php
http://www.isot07.org/files/cfp/short_CFP_151106_v5.pdf
Deadlines:
Abstract Due: March 1, 2007
Full paper Due: July 15, 2007
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.isot07.org/files/cfp/CFP_4_v4.pdf
Abstract Due: March 1, 2007
Full paper Due: July 15, 2007
Optomechatronic Computer-Vision Systems II
Conference Chair:
Jonathan Kofman, University of Waterloo (Canada)
Conference Co-chairs:
Yuri Lopez de Meneses, Ismeca Semiconductor Inc. (Switzerland);
Shun’ichi Kaneko, Hokkaido University (Japan);
Claudio A. Perez, University De Chile (Chile);
Didier Coquin, IUT d’Annecy (France)
Program Committee:
Paul Beardsley, Mitsubishi Electric Research Lab. (USA);
John Billingsley, University of Southern Queensland (Australia);
Jan Boehm, Stuttgart University (Germany);
Yeong-Ho Ha, Kyungpook National University (Korea);
Seiji Hata, Kagawa University (Japan);
Dieter Just, EUMETSAT (Germany);
Hiroyasu Koshimizu, Chukyo University (Japan);
Kazuhiko Sumi, Kyoto University (Japan);
Jun'ichi Yamaguchi, Kagawa University (Japan)
International Symposium on Optomechatronic Technologies ISOT 2007
8-10 October 2007
Beaulieu, Lausanne, Switzerland
http://www.isot07.org/index.php
http://www.isot07.org/files/cfp/short_CFP_151106_v5.pdf
Symposium Chair:
Jean-Marc Breguet, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Symposium Co-chairs :
Hyungsuck Cho, Korea Advanced Institute of Science and Technology (South
Korea); Shun'ichi Kaneko, Hokkaido University (Japan);
Yoshitada Katagiri, Nippon Telegraph and Telephone Corp. (Japan);
Jonathan Kofman, University of Waterloo (Canada);
George K. Knopf, University of Western Ontario (Canada);
Rainer Tutsch, Technical University Braunschweig (Germany);
John T. Wen, Center for Automation Technologies and Systems. Rensselaer
Polytechnic Inst
------------------------------
From: Leonid Sigal <l...@cs.brown.edu>
Subject: CFP : 2nd WS Eval of Articulated Human Motion and Pose - MN - 20APR2007
CVPR 2007 EHuM2 Workshop CALL FOR PARTICIPATION
EHuM2: 2nd Workshop on Evaluation of Articulated Human Motion and Pose
Estimation
With IEEE Computer Vision and Pattern Recognition (CVPR) 2007
June 22, 2007, Minneapolis, MN
http://www.cs.brown.edu/people/ls/ehum2/
OVERVIEW:
There has been a large body of work developed in the last 10 years on
the human pose estimation and tracking from video. Progress however has
been limited because of the lack of common datasets and error metrics
for quantitative comparison. The goal of this workshop is to (1)
establish the current state of the art in the human pose estimation and
tracking from single and multiple camera views, (2) discuss future
directions in the field, and (3) introduce a benchmark database and
error metrics for comparing current and future methods. To this end a
new (HumanEva) dataset has been introduced.
DATASET:
The HumanEva dataset contains multiple calibrated video sequences
(grayscale and color) that are synchronized with 3D body poses obtained
from a motion capture system. The database contains multiple subjects
performing a variety of common actions (e.g. walking, jogging,
gesturing, etc.). The error metrics for computing error in 2D and 3D
pose will be provided to participants. The dataset contains training,
validation and testing (with withheld ground truth) sets.
SCOPE:
The workshop program will consist of papers, invited talks and a
discussion panel. The list of possible topics includes (but is not limited
to) the following:
- Tracking and pose estimation (in 2D and 3D);
- Priors for human motion and dynamics;
- Appearance models;
- Discriminative and generative approaches for articulated pose
recovery;
- Quantitative metrics for evaluation of pose estimation and tracking.
SUBMISSIONS:
All submissions will be required to use the dataset provided and the
on-line evaluation system for evaluation of results. Due to the
retrospective and prospective nature of the workshop, we will encourage
submissions of both original unpublished works as well as surveys where
prior approaches are evaluated using the data and the metrics provided.
Submissions should contain an extensive experimental section and enough
algorithmic details to allow reproducibility of results. We invite
submissions of full length 8-page papers in the 2-column CVPR style.
We encourage authors of papers at the main CVPR conference to present an
evaluation of their method at the workshop. For CVPR-accepted papers,
authors should submit (1) a copy of the CVPR paper; (2) a brief writeup
describing experimental analysis with the EHuM dataset.
REVIEWING PROCESS:
All papers will be subject to a double-blind review process by a program
committee of leading international researchers with experience in human
motion and pose estimation. Each paper will be reviewed by 2 members of
the program committee. Based on these reviews, the workshop organizers
will decide on acceptance and presentation mode (oral/spotlights).
Instead of having a poster session, we propose to have short oral
spotlight presentations.
DATES:
Call for participation: January 30, 2007
Submission deadline: April 20, 2007
Notification to authors: May 18, 2007
Workshop in Minneapolis, Minnesota: June 22, 2007
Submission of revised IJCV manuscripts: August, 2007
PROCEEDINGS:
In lieu of a proceedings, authors will be invited to submit extended
versions of their papers to a special issue of International Journal of
Computer Vision (IJCV) on human pose estimation and tracking with a
deadline in August 2007.
ORGANIZING COMMITTEE:
L. Sigal (Brown University)
M. Black (Brown University)
H. Haussecker (Intel Research)
PROGRAM COMMITTEE:
A. Agarwal (Microsoft Research)
S. Carlsson (KTH)
T. Darrell (MIT)
J. Davis (UC Santa Cruz)
L. Davis (U of Maryland)
D. Fleet (U of Toronto)
D. Forsyth (UIUC)
P. Fua (EPFL)
D. Huttenlocher (Cornell U)
R. Nevatia (USC)
D. Ramanan (TTI-C)
J. Rehg (Georgia Tech)
S. Sclaroff (Boston U)
C. Sminchisescu (TTI-C)
P. Torr (Oxford Brookes)
B. Triggs (INRIA)
Y. Wu (Northwestern U)
M.-H. Yang (Honda Research)
INVITED SPEAKERS:
D. Fleet (U of Toronto)
J. Hodgins (CMU) [tentative]
------------------------------
From: Nektaria Kalykaki <ad...@isvc.net>
Subject: CFP : 3rd Int Sym on Visual Computing - Lake Tahoe, CA - 23MAR2007
First CALL FOR PAPERS
3rd International Symposium on Visual Computing (ISVC07)
Harrah's Hotel and Casino
Lake Tahoe, Nevada/California
November 26-28, 2007
http://www.isvc.net
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. This is the third in the series of symposia following
two very successful meetings in 2005 ( http://www.isvc.net/05 ) and 2006
( http://www.isvc.net/06 ) respectively.
ISVC07 will consist of invited and contributed presentations dealing
with all aspects of visual computing. In addition to the main technical
program, the symposium will include several keynote speakers, posters
sessions, and special tracks. All papers accepted will appear in the
symposium proceedings which will be published by Springer-Verlag in the
Lecture Notes in Computer Science (LNCS) series (pending approval).
TOPICS
ISCV seeks papers describing contributions to the state of the art and
state of the practice in the field of visual computing. The symposium is
structured around the 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.
Steering Committee:
George Bebis, University of Nevada, Reno, USA
Richard Boyle, NASA Ames Research Center, USA
Bharam Parvin, Lawerence Berkeley National Lab, USA
Darko Koracin, Desert Research Institute, USA
(Area 1) Computer Vision Chairs:
Nikos Paragios, Ecole Centrale de Paris , France
Tanveer Syeda-Mahmood, IBM Almaden, USA
(Area 2) Computer Graphics Chairs:
Tao Ju, Washington University, USA
Zicheng Liu, Microsoft, USA
(Area 3) Virtual Reality Chairs:
Carolina Cruz-Neira, Louisiana Immersive Technologies Enterprise,
Sabine Coquillart, INRIA, France
(Area 4) Visualization Chairs:
Torsten Moller, Simon Fraser University, Canada
Tom Malzbender, Hewlett Packard Labs, USA
Keynote Speakers:
John Tsostos, York University, Canada
Fatih Porikli, MERL, USA
Dimitris Metaxas, Rutgers University, USA
Mubarak Shah, University of Central Florida, USA
Kwan-Liu Ma, University of California at Davis, USA
Program Committee:
see http://www.isvc.net/committee.html
Sponsors:
University of Nevada, Reno
NASA Ames Research Center
Lawrence Berkeley National Lab
Desert Research Institute
Siemens
Hewelett Packard
IBM Almaden
Intel
Ford Motor Company
DigitalPersona
MERL
UtopiaCompression
Equinox Corporation
** Important Dates**
. Special track proposals: 03/23/2007
. Paper submissions 07/23/2007
. Notification of acceptance 08/24/2007
. Final camera ready paper 09/07/2007
. Advance Registration 09/07/2007
. ISVC07 Symposium 11/26-28, 2007
**Paper Submission**
Papers submitted to ISVC 2007 must not have been previously published and
must not be currently under consideration for publication elsewhere. A
complete paper should be submitted in camera-ready format. See
http://www.isvc.net for details. Papers will be reviewed with an emphasis
on potential to contribute to the state of the art in the field. Each
paper will receive at least two blind reviews and should not contain
names or other information revealing authors' identity. Selection criteria
include accuracy and originality of ideas, clarity and significance of
results, and presentation quality. In submitting a paper the author(s)
agree that, upon acceptance, they will prepare the final manuscript in
time for inclusion into the proceedings and will present the paper at the
symposium
.
**** Call for Special Track Proposals***
Proposals are invited for special tracks on any topic relevant to the
symposium.If you are interested in organizing a special track, please
email a special track proposal to ad...@isvc.net by March 23, 2007. Each
special track proposal should include the following information:
1. Title
2. Scope and Topics
3. Names of organizers and contact information
4. Initial special track committee
5. Anticipated number of papers
------------------------------
From: Oliver Bimber <bim...@uni-weimar.de>
Subject: CFP : 4th Projector-Camera Systems WS - MN - 22MAR2007
4th Projector-Camera Systems (ProCams) Workshop
With IEEE Computer Vision and Pattern Recognition (CVPR) 2007
June 18, 2007, Minneapolis, MN
http://www.procams2007.org/
There continues to be growing interest in systems that combine
projection technology with computer vision. Examples include
automatically calibrated display walls, interactive display surfaces,
intelligent environments and performance art. A characteristic of these
systems is their ability to passively sense an environment in support of
real-time control of projected light. Research in this area spans a
number of disciplines including computer vision, computer graphics, HCI
and display technologies. In particular, the theory and techniques used