VISION-LIST digest 27.4 - [1/2]
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Today's Topics:
Q&A : Looking for test images
Q&A : Dictionary of CVIP now partly online
Q&A : Request for computer vision/image proc tutorial materials
JOB : CV Engineer - Blue Lava Tech - Honolulu, HI
JOB : Professorial Positions - Swinburne Univ - Australia
JOB : Lecturer - Oxford Brookes Univ - UK
JOB : Research Scientists - Siemens Corp Research - Princeton US/GER
JOB : Programmer / Data Analyst - UNC Chapel Hill - NC
JOB : Robotic Vision Scientist - Braintech - BC CANADA
JOB : Research Officer - Univ of Bath - Bath UK
JOB : PhD position - INRIA and SME company - Grenoble, France
JOB : Postdoc - Univ of Adelaide - S Australia
JOB : Post-Doc - Univ of Pennsylvania - PA
JOB : Post-doc - USC - CA
JOB : Post-Doc - Univ of Amsterdam - NETHERLANDS
JOB : Research Engineer - EVS and University of Liege - BELGIUM
JOB : Postdoc Fellow/RA - HIT Lab NZ - NZ
JOB : Postdoc/RA - VCA Tech - Surrey UK
JOB : PhD Fellowship - INRIA & Ecole Centrale de Paris - France
JOB : Product Marketing Specialist - Cognex - Natick, MA
CFP : Special issue on PRL and IJPRAI - Due June 1, 2008
CFP : ECCV Call for tutorials/courses - France - 15MAY2008
CFP : 10th Int Conf Adv Concepts Intell Vision - France - 28APR2008
CFP : WS on CV for Visually Impaired - France - 01JUL2008
CFP : EPSRC Computer Vision Summer School - UK - 06JUL2008
CFP : Optomechatronic CV Systems - San Diego, USA - 01JUN2008
----------------------------------------------------------------------
From: Johann Schoonees <j.sch...@irl.cri.nz>
Subject: Q&A : Looking for test images
Dear Vision experts,
I am looking for seven test images used in papers by Chang, Lian and
others. Emails to the authors have so far drawn no response.
Would you please have a look at
http://kauri.auck.irl.cri.nz/~johanns/test_images.html and email me if
you know where I can download any of the images in the bottom rows of
the shown sets?
I may have googled two of them (barbara and watch) but the others remain
elusive.
Any help much appreciated!
Johann Schoonees
------------------------------
From: Bob Fisher <r...@inf.ed.ac.uk>
Subject: Q&A : Dictionary of CVIP now partly online
Hi - It's my pleasure to announce that John Wiley has agreed to us
mounting the definitions of the terms 0,A,B,C,D,E of the book:
Dictionary of Computer Vision and Image Processing
Robert Fisher, Ken Dawson-Howe, Andrew Fitzgibbon,
Craig Robertson, Emanuele Trucco
John Wiley and Sons, June 2005
on the web, at:
http://homepages.inf.ed.ac.uk/rbf/CVDICT/
[Should you feel so inclined, you can purchase the full book at:
http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470015268.html
].
You might also be interested in other online resources:
* CVonline http://homepages.inf.ed.ac.uk/rbf/CVonline/
A first point of contact for explanations of different image
related concepts and techniques. CVonline currently has about
2000 topics, 1500 of which have content.
* HIPR2 - http://homepages.inf.ed.ac.uk/rbf/HIPR2/
Free WWW-based Image Processing Teaching Materials with JAVA.
HIPR2 contains tutorial materials for the 50 most commonly
used image processing operators. It contains tutorial text, sample
results and JAVA demonstrations of individual operators.
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: Bob Fisher <r...@inf.ed.ac.uk>
Subject: Q&A : Request for computer vision/image proc tutorial materials
Hi - I'm developing the computer vision/image processing TUTORIAL resources
http://homepages.inf.ed.ac.uk/rbf/IAPR/researchers/D2PAGES/d2tut.htm
as part of a set of education materials for the Int. Association of
Pattern Recognition: http://homepages.inf.ed.ac.uk/rbf/IAPR/
Do you have any materials that you have developed for a TUTORIAL
at a conference or summer school that you'd like to contribute?
The tutorial should be on a specific topic, typically for a few hours or longer.
Written notes are best, but powerpoint/PDF slides are sometimes usable.
If you would like to contribute to this collection, please email me the
URL or document (which I can host for now but eventually the IAPR will host).
Some materials may also be used in CVonline.
Many thanks, 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: Lorenz Sell <lor...@bluelavatech.com>
Subject: JOB : CV Engineer - Blue Lava Tech - Honolulu, HI
Blue Lava Technologies is building a really awesome way to organize and
share all your photos using funky stuff like facial recognition and
artificial intelligence. We're a funded start up venture based in
Hawaii. We're launching a platform called iLovePhotos.com that creates
an entirely new photo sharing paradigm. Imagine seeing every photo
anyone has ever taken of you. Imagine automatically sharing all your
photos with your friends. Using facial detection and visual tagging,
iLovePhotos simplifies photo management by doing two things: 1)
Automatically sharing your photos with the people in each photo, and 2)
Automatically creating compelling slideshows out of your photos.
We're looking for a really smart computer vision engineer with real
world software development experience to lead our image processing
division.
This is a start-up. IT INVOLVES LONG HOURS AND HARD WORK, but you'll
be working on one of the coolest photo management products around with
some of the smartest people around.
Position Type:
* Full-time, Permanent
Required:
* PhD preferred, MS required
* Proven track record and individual technical accomplishments
* Extensive experience with OpenCV
* Extensive understanding of computer vision, pattern recognition, and
image analysis
* Experience optimizing images for display
* Experience designing and developing image processing software
* Understanding of video/image compression technologies
* Experience programming in C/C++ with strong OO skills
* Experience programming in Python/Django and/or Objective C/Cocoa
* Experience with real time image processing and system modeling
* Must be a self starter who is capable of working with a team
Desired:
* Mac application development experience
* Willing to relocate to Hawaii
------------------------------
From: Ali Bab-Hadiashar <abab-ha...@swin.edu.au>
Subject: JOB : Professorial Positions - Swinburne Univ - Australia
Professorial Positions in Robotics and Mechatronics Engineering
Swinburne University of Technology, Melbourne, Australia
Engineering at Swinburne ( http://www.swinburne.edu.au/feis/ )is being
further strengthened by the appointment of two Professors to key
leadership roles in the areas of Robotics & Mechatronics and Electrical
& Electronic Engineering. This builds on recent professorial
appointments in the areas of Engineering Mathematics, Engineering
Design, Bioengineering and Surface Science & Interface Engineering. The
Professors will contribute to the strategic direction of Engineering at
Swinburne, provide leadership and promote innovation and excellence in
research, teaching, and learning, and develop research within their
discipline and in collaboration, both nationally and internationally.
The people we seek for these critical roles will be strongly committed
teaching academics who also have an interest in developing applied
research both within their discipline and in collaboration with others,
both academic and industrial. Collaborative research is encouraged
within the Faculty and across the campus, as well as nationally and
internationally. Each Professor will be associated with a group of
colleagues within the Faculty. There is also the possibility of junior
appointments to be made in association with these Professorial
appointments. For further information, please see:
http://swinburne.nga.net.au/mjs_customer_data/swinburne/job_files/1971/PD25289.pdf
------------------------------
From: "Philip Torr" <phili...@brookes.ac.uk>
Subject: JOB : Lecturer - Oxford Brookes Univ - UK
Applications are invited for the post of lecturer to work in computer
vision and machine learning in the Department of Computing at Oxford
Brookes. The post is funded under an Oxford Brookes early career
development initiative with the aim being to foster basic research. As
such the position holds a very light teaching load for the first three
years, and would be suitable for a recent PhD or to someone just about
to complete. The candidate would be expected to produce world leading
research, supervise graduate students and apply for research funding;
the pay is around 26-27K.
The Computer Vision group
( http://cms.brookes.ac.uk/research/visiongroup/ ) in the Department of
Computing was formed in 2005 by Philip Torr and William Clocksin, and is
led by Philip Torr ( http://cms.brookes.ac.uk/staff/PhilipTorr/ ). It
comprises 8 graduate students and 4 research fellows. The aim of the
group is to engage in state of the art research into the mathematical
theory of computer vision and artificial intelligence, but to keep the
mathematical research relevant to the needs of society. Our research is
focused on Bayesian methods, in particular the study of the mathematics
underlying Markov Random Fields, combinatorial optimization and Bayesian
nets.
The applications come in many forms, and we are involved with several
major companies and organizations. With Sony we are working on human
computer interaction (via a camera, the "EyeToy") for the Play Stations
2 and 3, with Sharp we are working on generation of content for 3D
displays, with Oxford Metrics Group we are working on computer
understanding of films (e.g. what is the shape of objects in the scene
etc) in order to make better special effects, we also work on motion
capture of humans (and animals) in order to drive computer generated
avatars. We work on medical image analysis and on surveillance. We also
do collaborative work with Microsoft Research, London, Cambridge and
Oxford Universities.
For more details email your CV to mailto:phili...@BROOKES.AC.UK .
regards
Phil
Professor Philip H. S. Torr
http://cms.brookes.ac.uk/staff/PhilipTorr/
Head Brookes Computer Vision Group
http://cms.brookes.ac.uk/research/visiongroup
School of Technology, Oxford Brookes University, Wheatley,
Oxford, OX33 1HX.
TEL +44 1865 484 592, FAX +44 1865 484 545
------------------------------
From: "Comaniciu, Dorin (SCR US)" <dorin.c...@siemens.com>
Subject: JOB : Research Scientists - Siemens Corp Research - Princeton US/GER
Siemens Corporate Research, Inc., has immediate openings for Research
Scientists in the areas of computer vision and medical imaging, applied
machine learning, 3D/4D segmentation, tracking and information fusion,
pattern recognition, and graphical models.
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. Our group has a strong publication record in
leading journals and conferences.
We will only consider candidates holding a Ph.D. in CS, EE or related
fields with a proven record in problem solving and research.
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 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 headquarted 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 100 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:Gustavo....@siemens.com - for Princeton, New Jersey
mailto:Martin...@siemens.com - for Erlangen Germany
mailto:Dorin.C...@siemens.com
------------------------------
From: "dinggang shen" <dgs...@med.unc.edu>
Subject: JOB : Programmer / Data Analyst - UNC Chapel Hill - NC
A programmer / data analyst position is available on 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 ).
------------------------------
From: "Rob Sim" <rs...@braintech.com>
Subject: JOB : Robotic Vision Scientist - Braintech - BC CANADA
ROBOTIC VISION SCIENTIST (POSTION NUMBER 328)
THE OPPORTUNITY
Founded in 1994, Braintech, Inc. is a rapidly growing company
specializing in the design and development of machine vision products
for the industrial, consumer and government/defense robotic markets.
Braintech pioneered 3D-Vision Guided Robotics (3D-VGR) for manufacturers
in early 2000 through landmark installations at Ford Motor Co.
Braintech was also first to commercialize the development, operation and
support of VGR systems with the release of eVisionFactory commercial
software platform.
Systems built using Braintech products provide robots with the ability
to 'see', identify and locate objects accurately in 3D space. This new
capability has tremendous implications in terms of flexibility and
usability of robots and has already brought about a paradigm shift in
the industrial manufacturing market.
Braintech's unique suite of products and technologies put us at the
leading edge of the new emerging intelligent robotics market. For more
information on Braintech please visit: http://www.braintech.com
POSITION SUMMARY
Braintech is currently seeking candidates for the position of Robotic
Vision Scientist. The successful candidate has a PhD in Computer
Science, Electrical Engineering or related discipline, and a
demonstrated ability to conduct applied research in the areas of mobile
robotics, computer vision or machine learning. We are especially
interested in candidates with experience in autonomous navigation
visual servoing, sensor fusion, and anomalous event detection.
REQUIRED SKILLS
2D and/or 3D image processing knowledge.
Strong mathematical skills (linear algebra, probabilistic analysis).
An understanding of inference problems in machine learning- state
estimation, classification, etc.
Extensive coding experience in one or more of C/C++, C#, Java, Matlab,
Python, Perl.
Development experience in *nix-like environments (gcc/make, etc).
Evidence of a hands-on approach to conducting research.
Strong communication skills.
Open minded and positive
WOULD BE AN ASSET
Development experience in Windows XP or Vista.
Experience with one or more robot control platforms (MSRS,
Player/Stage, Carmen, ARIA, etc).
Experience with range imaging (Laser range finding / LIDAR., stereo)
Skills in one or more advanced machine learning techniques: POMDPs,
MRFs, Reinforcement learning, etc.
Relevant industry experience.
EDUCATION
Minimum requirement is a Ph.D. in Computer, Electrical Engineering or
similar discipline from an accredited University.
EMPLOYMENT LOCATION: Vancouver, BC, Canada
CONTACT INFO: Please forward CV and cover letter to
mailto:dch...@braintech.com
------------------------------
From: "John Collomosse" <j...@cs.bath.ac.uk>
Subject: JOB : Research Officer - Univ of Bath - Bath UK
Department: Computer Science
Location: University of Bath, Claverton Campus, Bath, BA2 7AY.
An opportunity exists for a Research Officer to work on one of our EPSRC
funded research projects, investigating the use of hand-drawn sketches
as a mechanism for querying large video databases. The work will
involve developing and evaluating algorithms to analyse scene content
and dynamics in video clips, and to match this information to sketches
annotated with animation motion cues, such as streak-lines.
Applicants should have a research background in Computer Vision or a
related area, demonstrated through a publication record. A relevant PhD
is desirable, and the ability to work as a member of a small team is
essential. Programming skills in MATLAB and/or C/C++ would also be
desirable.
The appointment will be for 12 months, starting June 2008 or as soon as
possible thereafter. Informal enquiries are welcome and can be made to
Dr John Collomosse ( mailto:j...@cs.bath.ac.uk , quoting the below Ref
No. as the subject).
Salary: =A328,290 - =A333,780 pa
Duration: 12 months
Ref Number : 08H143A
Apply online: http://www.bath.ac.uk/jobs/job_desc.cgi?08H143A
Closing Date: Tuesday May 6th 2008
------------------------------
From: "Daniela Hall" <DH...@vitechnology.com>
Subject: JOB : PhD position - INRIA and SME company - Grenoble, France
Name of the company: VIT S.A. , St. Egreve, France, 38120
Name of academic partner: Lear team, INRIA Rhone-Alpes, St. Ismier, France, 38334
TITLE:
Learning techniques for automatic defect classification of electronic
components on printed circuit boards (PCB)
Description of PhD position (collaboration between company and academic
partner (these CIFRE)):
Automated optical inspection (AOI) equipment market is defined as camera
based fully automated inspection systems that are used to inspect
printed circuit boards. VIT S.A. is a leading provider of such solutions
that enhance the yield of electronic assembly. By locating defects
quickly and precisely, PCB assembly manufacturers can efficiently and
economically fix, review and classify defects. In addition to defect
inspection, SMT inspection equipment is increasingly being used to
control and improve the production processes, thus providing value
through productivity and quality enhancements.
VIT's customers require 100% defect detection and classification rate
with a small false call rate within restricted cycle time. This is an
extremely challenging problem. Particular difficulties are high
variability of components and differences in manufacturing processes.
This thesis explores machine learning techniques in order to improve
defect detection and classification of VIT's inspection machines.
Research issues include reliable detection and classification of objects
presenting strong variabilities, learning techniques to improve
classification performance, data mining issues and processing time
optimisations.
The successful candidate holds a MSc in computer science, mathematics or
related engineering sciences. Training in computer vision and artificial
intelligence is a must. Excellent English language skills are
mandatory.This PhD position requires good programming skills in C++. The
candidate should take responsibility, be autonomous, and be sensitive to
the defect detection problems of AOI market. The mission is to transfer
newest technological findings for the benefit of the company's products.
The scholarship has a duration of 3 years with a brut income of 2000
Euros per month. Desired starting date: September to November 2008.
VIT S.A. employs 140 people situated on two sites in France, 1 in the
US, 1 in Singapore and 1 in Bulgaria. The R&D division is situated near
Grenoble in the French Alps. A global distribution network and
collaborations with known research institutions ensure ViTechnology's
position among the 3 top players in the SMT market world wide.
The LEAR project-team ( http://lear.inrialpes.fr ) is a research group
hosted by INRIA Grenoble - Rhône-Alpes Research Centre near Grenoble.
LEAR's research focuses on machine learning and statistical modelling
based approaches to visual object recognition, scene interpretation, and
image and video indexing. Understanding the content of everyday images
and videos is one of the major outstanding challenges of computer
vision. At present the extent to which we can do this is limited, but we
believe that significant advances will be made over the next few years
by combining emerging statistical learning techniques with state of the
art image descriptors, and this new capability will lead to a boom in
applications.
Application procedure and information request:
please send CV and cover letter to mailto:dh...@vitechnology.com
------------------------------
From: Anton van den Hengel <Anton.van...@adelaide.edu.au>
Subject: JOB : Postdoc - Univ of Adelaide - S Australia
2-YEAR POSTDOCTORAL POSITION
Australian Centre for Visual Technologies
University of Adelaide
South Australia
Rapid interactive scene modelling from video
Research areas: Computer Vision, Structure from Motion
The successful applicant will join an established and successful team
lead by A/Prof Anton van den Hengel, Dr Anthony Dick, and Prof Philip
Torr working on developing methods for rapid interactive scene modelling
from video sequences. The position is initially for 2 years and will be
available from mid 2008.
Project background: The recovery of 3D models from video has for a
number of years been a goal of both the computer vision and graphics
communities. In computer vision, several systems have been developed to
automatically recover a cloud of 3D scene points from a video sequence.
However these are vulnerable to ambiguities in the image data,
degeneracies in camera motion, and a lack of discernible features on the
model surface. These difficulties can be overcome by manual intervention
in the modelling process. In the extreme case, a modelling package such
as Blender3D can used to build a model manually, but it is difficult to
create a photo-realistic result by this process. A more appealing option
is to use all of the information that can be derived from the video
using computer vision techniques to inform an interactive modelling
process. The question then arises: how should these interactions be
implemented so they are (a) intuitive to a non-expert user and (b)
powerful and informative to the underlying modelling engine, so that
only a small number of interactions are required? See
http://www.acvt.com.au/research/videotrace/ for more details.
This is a new position in an expanding international group of
researchers. Applicants should have a PhD in a relevant discipline, with
a strong background in computer vision, in particular in structure from
motion and Bayesian estimation. Strong coding and mathematical skills
are also required. The successful applicant will work as part of a team
of researchers within the Australian Centre for Visual Technologies on
problems in interactive scene modelling. International travel,
particularly to work with researchers in Oxford, will be funded as part
of the package.
Salary: From $77,959 to $98,982 (Australian Dollars) negotiable.
Closing Date: 30 April, 2008. Further positions may become available,
however, so applications may be accepted after this date for those
positions.
Informal enquiries and applications may be addressed to
A/Prof. A van den Hengel, Computer Science
University of Adelaide,
Adelaide, South Australia 5005, Australia
or by email to
mailto:Anton.van...@adelaide.edu.au
------------------------------
From: "Parmpi, Paraskevi" <Paraskev...@uphs.upenn.edu>
Subject: JOB : Post-Doc - Univ of Pennsylvania - PA
Position for Post-Doctoral Researcher in Facial Expression Analysis
A postdoctoral position in the area of facial expression analysis
applied to neuropsychiatric disorders is immediately 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 candidates must have background in Computer Vision,
Electrical Engineering or Computer Science.
The project will involve development of methods in the broad area of
facial expression analysis using videos and 3D surfaces (detection,
tracking, manifold-based analysis, correlation with clinical responses).
No background in neuropsychiatry is expected. The candidate should
possess good programming skills (C, C++, Matlab) as well as good writing
ability.
SBIA is a dynamically growing medical image analysis group, including
researchers and collaborators from diverse fields and offers exciting
opportunities to researchers with interests in applying math, computer
vision and engineering knowledge and models to the rapidly growing
biomedical imaging field. More details about the group and project can
be found on the website mentioned above.
Please e-mail CV's to:
Ragini Verma, PhD, Assistant Professor
Section of Biomedical Image Analysis, 3600 Market street, Suite 380
Philadelphia, PA 19104
mailto:Ragini...@uphs.upenn.edu
Regards, Evi
------------------------------
From: Jasmine Zhou <xjz...@usc.edu>
Subject: JOB : Post-doc - USC - CA
A post-doc position in bioimage analysis is available immediately in
Prof. Jasmine Zhou's Computational Biology lab at USC. Bioimage analysis
is a newly emerged area in bioinformatics. The candidate will develop
computational methods to analyze the rapidly accumulating high-
throughput bioimage data, and additionally integrate the image data with
other large-scale genomic datasets, such as microarray data and protein
interaction data, to analyze cellular functions and organizations.
Interested candidate please email your CV and names/ addresses of two
references to Prof. Jasmine Zhou ( mailto:xjz...@usc.edu ).
------------------------------
From: "Dariu Gavrila" <gav...@science.uva.nl>
Subject: JOB : Post-Doc - Univ of Amsterdam - NETHERLANDS
POST-DOCTORAL RESEARCHER IN COMPUTER VISION - UNIV. OF AMSTERDAM, NL
The Intelligent Autonomous System (IAS) Group of the University of
Amsterdam, The Netherlands, has an immediate opening for a Post-Doctoral
Researcher in the area of computer vision and temporal data modelling.
The open position considers the topic of video-based HUMAN ACTIVITY
RECOGNITION in dynamic and cluttered environments. The particular
application context is abnormal behaviour detection in surveillance
(e.g. aggression), but generality to other application scenarios is
desirable. Issues such as learning human appearance and motion, use of
low-level features vs. 3D body pose recovery, tracking and movement
classification are to be addressed. The open position furthermore
investigates the fusion of video and audio information, and the role of
context modelling. A unique realistic data set collected at a train
station with professional actors and multiple synchronized cameras and
microphones is available.
We are looking for a highly motivated individual with an (existing or
soon-expected) Ph.D. in the domain of computer vision and pattern
recognition, preferably in the "Looking at People" area. The successful
applicant will have a proven track record and be comfortable in
formulating and pursuing research goals independently. The candidate
will furthermore have good communication skills and able to collaborate
effectively with other members of a research team. A certain affinity
towards turning complex techniques into real-world practice (with the
associated strong programming skills) is important. Good English skills
are essential.
The open position involves an interesting research domain that provides
rich publication potential. The Post-Doctoral Researcher will lead one
or more PhD students and possibly several MS students, amplifying
his/her impact. The University of Amsterdam hosts an internationally
recognized vision group which offers ample opportunities for technical
exchange, see http://www.science.uva.nl/research/isla/ .
Funding for this 2 yr post-doctoral position is provided by the Dutch
Science Foundation NWO. Monthly salary ranges from EUR 2708 to EUR 3442
(brutto) depending on experience. Funding prospects after 2 years are
very good, because of a forthcoming EU project.
Inquiries are welcome. Prospective applicants please email
- cover letter (explaining suitability)
- resume
- copy of academic record
- references and
- supporting materials, e.g. Ph.D. Thesis (draft), publications
to
Prof. Dr. D.M. Gavrila, Intelligent Perception Systems
Faculty of Science, University of Amsterdam
mailto:gav...@science.uva.nl
See also http://www.gavrila.net
------------------------------
From: Justus...@ULg.ac.be
Subject: JOB : Research Engineer - EVS and University of Liege - BELGIUM
EVS Broadcast Equipment - http://www.evs.tv/
University of Liege, INTELSIG group - http://intelsig.be/
Contact: Prof. J. Piater - mailto:Justus...@ULg.ac.be
At the core of every successful business lies a solid and reliable
foundation to build upon. In the new world of digital broadcast
television and motion pictures, EVS Broadcast Equipment offers solutions
(hardware & software devices), for live, near-live and playout of
broadcast sports, news and entertainment aiming to improve the value of
viewing experience and the customer productivity. With its roots in
sports television, EVS redefined live broadcasting with tapeless
solutions.
After several generations of development originally started in
Li=C3=A8ge, Belgium, the core EVS server has evolved into the fastest,
most reliable, and most utilized broadcast tool for live production and
now completely dominates the sports production marketplace. The intimate
partnership initiated between the EVS team across the globe (with
offices now in Belgium, France, Italy, UK, Hong Kong and US) and the
world's leading broadcasters have led to significant development around
its core foundation.
A unique opportunity has arisen for
RESEARCH ENGINEER - GRAPHICS & VIDEO
Scope:
As a part of our R&D team, and working in close relationship with the
University of Liege, you will design, develop and maintain several image
and video processing algorithms for the sport broadcasting domain. The
position requires the ability to work closely with peers in a fast paced
dynamic environment.
JOB DESCRIPTION:
- In close relationship with researchers at the University of Liege,
acquire the knowledge and extend the algorithms used for image
rectification and target tracking in sport video sequences.
- Analyze, design, develop, debug, unit test and provide internal
documentation for new and existing software modules.
- Develop in C++ for Windows with external and EVS=E2=80=99s own libraries
and modules.
- Integrate and test individual software components coded by yourself
and other members of the team.
PROFILE:
- High competence in image and video processing and good mathematical
skills, or a PhD degree in a related field
- Proven track record of software development in C/C++.
- Some experience in software development for multithreaded
applications and Real Time industrial environment would be an asset.
- You are rigorous, pragmatic and solutions oriented.
- You are proactive and dynamic to fulfil your development objectives.
- You are open-minded and work closely with peers.
- You have a working knowledge of English and are willing to develop
your French speaking abilities.
OFFER:
You will benefit from working in a friendly, lively environment having
ambitious commercial objectives. Our dynamic and young team brings the
best out of motivated potentials. In addition, you will receive a
competitive salary and a range of other employee benefits.
------------------------------
From: Ken Beckman <ken.b...@canterbury.ac.nz>
Subject: JOB : Postdoc Fellow/RA - HIT Lab NZ - NZ
Postdoctoral Fellow/Research Associate (fixed term) (A090-08E)
Human Interface Technology Laboratory (HITLabNZ), College of Engineering
The purpose of the Postdoctoral Fellow/Research Associate position is to
conduct research in the field of accessible Augmented Reality (AR).
Location: Christchurch
Term of Contract: Fixed Term of 12 Months
Closing Date: 20 June 2008
POSITION OVERVIEW
Closing Date: 20 June 2008 (late applications will be considered until
the vacancy is filled)
Applications are invited for the position of Postdoctoral Fellow/
Research Associate in the Human Interface Technology Laboratory New
Zealand (HIT Lab NZ) to conduct research in the field of accessible
Augmented Reality (AR). This full-time, fixed term position is funded
for a 12 month period. A review of research outcomes and the
availability of funding will be conducted following the initial 12 month
period.
The Postdoctoral Fellow/Research Associate will focus on development of
new model-based tracking techniques for AR applications and research in
natural feature tracking.
The successful applicant will have completed a Ph.D. degree in the field
of Computer Science, Electrical Engineering, or equivalent for the
postdoctoral position. Applicants nearing completion of their Ph.D. in
the field of Computer Science, Electrical Engineering, or equivalent,
will also be considered in the capacity of a Research Associate.
The successful applicant will also have experience in the following
areas:
* Computer vision, including knowledge of monocular marker-based
tracking, stereo tracking, edge-based methods, template matching,
tracking by detection, etc
* Ability to programme in C/C++
* Desktop PC development
* Image processing algorithms
In addition, it would be desirable for the appointee to have experience
in one or more of the following: 3D computer graphics (OpenGL);
Augmented Reality and mobile phone programming (Symbian or Windows
Mobile).
The appointee will work with the largest AR research team in the
Southern Hemisphere, and will collaborate with the 40 staff and students
of the HIT Lab NZ. In addition, the successful candidate will have the
opportunity to work with leading international visiting researchers, and
present their work at national and international conferences.
More information about the HIT Lab NZ can be found at:
http://www.hitlabnz.org
Informal enquiries about this position can be made to the Director of
HIT Lab NZ, Professor Mark Billinghurst,
mailto:mark.bil...@canterbury.ac.nz or, alternatively, to Dr
Raphael Grasset, mailto:raphael...@canterbury.ac.nz
For assistance regarding applications contact the Human Resources
Administrator, College of Engineering, University of Canterbury, Private
Bag 4800, Christchurch, New Zealand, phone +64 3 364 3473, or email:
h...@engineering.canterbury.ac.nz
POSITION SUMMARY
Purpose Statement: To provide high quality research in the field of
accessible AR for the HIT Lab NZ
Responsible To: Director, HIT Lab NZ
Key Accountability Areas: Development of new model-based tracking
techniques for AR applications and research in natural feature tracking
PERSON SPECIFICATION
Qualifications: Ph.D. degree in the field of Computer Science,
Electrical Engineering, or equivalent
Experience
- Computer vision, including knowledge of monocular marker-based
tracking, stereo tracking, edge-based methods, template matching,
tracking by detection, etc.
- Ability to programme in C/C++
- Desktop PC development
- Image processing algorithms
------------------------------
From: "Ben White" <Ben....@vcatechnology.com>
Subject: JOB : Postdoc/RA - VCA Tech - Surrey UK
Candidates with Computer Vision background required - intelligent IP camera
manufacturer
Excellent opportunity for PhD graduates/research fellows with a computer
vision/image processing background - Surrey, UK.
A unique opportunity to join an internationally funded start up company
specialising in the development of video content analysis applications
for the CCTV/surveillance market.
Based near Kingston-upon-Thames, Surrey, the company is looking for PhD
graduates/research fellows to join its team of experienced technical and
management personnel that are well respected within the CCTV arena. The
company has developed a prototype tracking engine on a Texas Instruments
Davinci DSP and the successful applicant will be a key player in the
continuing development of embedded video content analysis software for a
new range of IP security cameras.
Reporting to the Chief Technical Officer, you will be a technology
driven individual with a research background in computer vision or image
processing and strong C/C++ software development skills in this field.
Ultimately, the algorithms will be ported to a Texas Instruments DaVinci
DSP with embedded Linux on an ARM9 platform but much of the prototyping
work will be done in Windows so excellent C and C++ development skills
on both Windows and Linux are essential. You will have a good bachelor's
degree from a top-tier university in electronics/computing or related
discipline. You will be proficient in written and spoken English.
Your background in computer vision/image processing means you will play
a key part in the prototyping and development of our algorithms. You
will also be exposed to software development on a wide range of
platforms including Windows, Linux and TI DSP, further broadening your
skills as a professional engineer.
In return you can expect a competitive salary and 25 days paid holiday.
SUMMARY:
Type: Permanent
Location: Surbiton Surrey
Start: ASAP
Salary: =A330K to =A345K depending on experience.
To apply for this position please send an up to date CV with a covering
letter to mailto:recru...@vcatechnology.com
------------------------------
From: "Nikos, Paragios" <nikos.p...@ecp.fr>
Subject: JOB : PhD Fellowship - INRIA & Ecole Centrale de Paris - France
Registration between 3D Preoperative & interventional Images
Type de poste : Doctorant
Lieu de travail : Paris-Saclay
http://www.ecp.fr , http://www.inria.fr/saclay
Thème de recherche : Systèmes biologiques
Projet : GALEN
http://www.inria.fr/recherche/equipes/galen.en.html
RESEARCH CONTEXT:
Volume registration is one of the most critical problems in medical
image analysis. It is used to fuse information between different
modalities, as well as to assess the evolution of diseases or
therapeutic strategies. The aim is to determine a transformation that
will establish correspondences between two signals. In the most general
case, the signals are related with an unknown non-linear transformation.
Recovering this transformation involves three aspects, (i) the type of
transformation, (ii) the similarity function used to compare the two
signals, and (iii) the optimization method used to recover the lowest
potential of the designed objective function.
PHD RESEARCHER WORK DESCRIPTION:
The aim of this thesis is to address registration between pre-operative
3D annotated data and 2D interventional images coming from in-vivo
vrirtual endoscopic surgery. In such a context, the use of discrete
optimization will be considered, where one seeks for an out of plane
projection of the 2D images to the 3D volume and an in-plane non-rigid
deformation towards addressing tissue shift. Efficent techniques from
discrete optimization will be considered to address the problem. The
estimation will decomposed into a master (out of plane projection) and a
slave problem (in plane deformation). In order to account for different
modalities, a kernel-based approach will be considered first to
determine the transport/similarity function between them. Once such a
metric has been determined, the registration will be casted using a
continuous interolation model over non-uniform control points.
Required knowledge and background : B.Sc./B. Eng.
Master in Applied Mathematics and/or Machine Learning and/or medical
imaging/computer vision
Programming skills, either in MATLAB or C++, Prior experience in the
field of image registration will be a plus
Additional information & Application:
http://www.talentsplace.com/syndication1/inria/ukdoc/details.html?id=PNGFK026203F3VBQB6G68LOE1&LOV5=4509&LOV6=4516&LG=EN&Resultsperpage=20&nPostingID=2356&nPostingTargetID=5648&option=52&sort=DESC&nDepartmentID=28
Place of work: Assistance Publique Hôpitaux de Paris, Pitié Salpêtrière,
PARIS
Contact: Prof. Nikos Paragios mailto:nikos.p...@ecp.fr ,
http://vision.mas.ecp.fr
------------------------------
From: "Page, Kristin" <kristi...@cognex.com>
Subject: JOB : Product Marketing Specialist - Cognex - Natick, MA
Ref #: 08-R-65
JOB SUMMARY:
The Product Marketing Specialist's primary responsibility in the Modular
Vision Systems Division is the management of assigned products from
initial concept through development and introduction to insure superior
market, functional, and competitive performance. This particular
position is within the Vision Systems Business Unit. This position will
be located in either West Allis, WI or Natick, MA.
ESSENTIAL FUNCTIONS:
1. Collecting and documenting new product input from customers,
sales engineers, marketing, and other internal and external sources as
well as relating the needs and requirements of those groups to the
development team throughout the new product process;
2. Developing and delivering product presentations, writing
collateral material, and interfacing with the trade press;
3. Serving as the focal point for sales force questions and
feedback regarding assigned products, and conducting sales meeting and
sales training sessions on those assigned products;
4. Assisting with product family and technology planning; and
5. Maintaining an awareness of applicable new technologies,
competitive products and techniques, industry standards, and future
market trends and opportunities.
MINIMUM EDUCATION AND WORK EXPERIENCE REQUIRED:
1. A BS degree in Electrical Engineering, Computer Science,
Physics or equivalent technical discipline is required.
2. An MBA with a concentration in Marketing is a plus.
3. 3 to 5 years of technical product marketing experience is also
required.
4. Product experience should include at least one of the
following: sensors, automatic identification, industrial control,
machine vision, operator interface, motion control, or robotics.
Disclaimer: The above statements are intended to describe the general
nature and level of work being performed by people assigned to this
classification. They are not intended to be construed as an exhaustive
list of all responsibilities, duties and skills required of personnel so
classified.
Qualified candidate can apply online at http://www.cognex.com
------------------------------
From: Ming Li <mi...@deakin.edu.au>
Subject: CFP : Special issue on PRL and IJPRAI - Due June 1, 2008
Call for papers - Special Issue in Elsevier Pattern Recognition
Letter on "Image/Video-Based Pattern Analysis and HCI application (PA&HCI)" -
http://www-staff.it.uts.edu.au/~wuq/CFP/SI_PAHCI.htm
Details of the special issue can be found on the website. People who
are interested and with some other questions are welcome to consult
with the guest editors.
Call for papers - Special Issue in International Journal of Pattern
Recognition and Artificial Intelligence (IJPRAI) on "Video Analysis
and Understanding for Surveillance Application (VAUSA)" -
http://www-staff.it.uts.edu.au/~wuq/CFP/SI_VAUSA.htm
Details of the special issue can be found on the above website.
People who are interested and with some other questions are welcome
to contact with the guest editors.
------------------------------
From: Emmanuel Prados <Emmanue...@inrialpes.fr>
Subject: CFP : ECCV Call for tutorials/courses - France - 15MAY2008
Organization: INRIA
ECCV 2008 - Call for proposals for Tutorials and Short Courses
Marseille, France, October, 2008.
http://eccv2008.inrialpes.fr/
DeadLine: 15/05/2008
The European Conference in Computer Vision is the premium conference in
the domain of computer vision held every two years with approx 750-1000
participants. This year it is scheduled to take place at Marseille
between October 12-18, 2008. Short courses and tutorials will take place
on October 12, 2008, at the same venue as ECCV, the Palais des Congrès
Parc Chanot.
Short courses and tutorials are usually half-day with the option of full
day courses for wider scope topics. They aim to address a specific topic
in computer vision and are supposed to provide a comprehensive overview
of the topic. The audience is mostly graduate students. The topic should
be of sufficient relevance with respect to the state of the art and the
course should rather be educating than just a survey of techniques.
The proposal should include:
1. Title
2. Proposer's name, address, email, and short bio-sketch
3. A course description in syllabus like form
4. Names of other lecturers and short bio-sketches
5. Relevant publications of the proposer(s) with respect to the topic
6. Length of course (half day/full day) & estimated attendance
7. Whether PDF slides will be available for inclusion in the CDROM
8. Whether there will be a web page about the short course including slides.
Proposals should be submitted in text form by email to the organizers,
Professors Nikos Paragios ( mailto:nikos.p...@ecp.fr ) and
Dr. Emmanuel Prados ( mailto:Emmanue...@inrialpes.fr ),
before May 15, 2008.
Review process:
Tutorial proposals will be evaluated on the basis of their estimated
benefit for our community and on their fit within the tutorials program
as a whole. Factors to be considered include: relevance, timeliness,
importance, and audience appeal; suitability for presentation in a
half-day or day format; and past experience and qualifications of the
instructors. Selection is also based on the overall distribution of
topics, expected attendance, and specialties of the intended audiences.
------------------------------
From: Jacques Blanc-Talon <mris.bla...@club-internet.fr>
Subject: CFP : 10th Int Conf Adv Concepts Intell Vision - France - 28APR2008
DEADLINE EXTENSION: APRIL 28, 2008
Advanced Concepts for Intelligent Vision Systems
Organised by the SEE
October 20-24, 2008
Ambassadeur hotel, Juan-les-Pins, France
http://acivs.org/acivs2008/
The Acivs 2008 proceedings are published in the Lecture Notes in
Computer Science and listed in the ISI proceedings index.
Sponsored by: IEEE France Signal Processing Chapter, DSP Valley,
Philips, NXP, Barco.
Acivs 2008 is a conference focusing on techniques for building adaptive,
intelligent, safe and secure imaging systems. Acivs 2008 consists of
four days of lecture sessions, both regular (25 mns) and invited
presentations, and poster sessions.
Topics include (but are not limited to)
* Vision systems, including multi-camera systems
* Image and Video Processing (linear/non-linear filtering and
enhancement, restoration, segmentation, wavelets and
multiresolution,
Markovian techniques, color processing, modeling, analysis,
interpolation and spatial transforms, motion, fractals and
multifractals, structure from motion)
* Pattern Analysis (shape analysis, data and image fusion, pattern
matching, neural nets, learning, grammatical techniques) and
Content-Based Image Retrieval
* Remote Sensing (techniques for filtering, enhancing, compressing,
displaying and analyzing optical, infrared, radar, multi- and
hyperspectral airborne and spaceborne images)
* Still Image and Video Coding and Transmission (still image/video
coding, model-based coding, synthetic/natural hybrid coding, quality
metrics, image watermarking, image and video databases, image search
and sorting, video indexing, multimedia applications)
* System Architecture and Performance Evaluation (implementation of
algorithms, benchmarking, evaluation criteria, algorithmic
evaluation)
Both classical research papers and application papers are welcome.
Conference proceedings
The proceedings of Acivs 2008 will be published by Springer Verlag in
the Lecture Notes in Computer Science series. LNCS is published, in
parallel to the printed books, in full-text electronic form via Springer
Verlags internet platform ( http://www.springerlink.com ).
Steering Committee
Jacques Blanc-Talon, DGA/MRIS, Arcueil, France.
Salah Bourennane, Ecole Centrale de Marseille, Marseille, 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, Universite de Nice Sophia Antipolis, Nice, France.
Kenneth Barner, University of Delaware, Newark, USA.
Laure Blanc-Feraud, INRIA, Sophia-Antipolis, France.
Philippe Bolon, University of Savoie, Annecy, France.
Don Bone, Canon Information Systems Research, Sydney, Australia.
Patrick Bouthemy, IRISA/INRIA, Rennes, France.
Umberto Castellani, Universita degli Studi di Verona, Verona, Italy.
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, Leganes, Spain.
Hassan Foroosh, University of Central Florida, Orlando, USA.
Don Fraser, University of New South Wales, Canberra, Australia.
Jerome Gilles, DGA/CEP, Arcueil, France.
Georgy Gimel'farb, The University of Auckland, Auckland, New Zealand.
Mark Holden, Canon Information Systems Research, Sydney, Australia.
Dimitris Iakovidis, University of Athens, Athens, Greece.
Dong Sik Jang, Korea University, Seoul, Korea.
Frederic Jurie, CNRS - INRIA, Saint Ismier, France.
Arto Kaarna, University of Technology, Lappeenranta, Finland.
Konstantinos Karantzalos, National Technical University of Athens, Greece.
Andrzej Kasinski, Poznan University of Technology, Poznan, Poland.
Richard Kleihorst, NXP Semiconductors Research, Eindhoven, the Netherlands.
Nikos Komodakis, University of Crete, Crete.
Murat Kunt, EPFL, Lausanne, Switzerland.
Hideo Kuroda, Nagasaki University, Nagasaki, Japan.
Olivier Laligant, IUT Le Creusot, Le Creusot, France.
Kenneth Lam, The Hong Kong Polytechnic University, Hong Kong, China.
Peter Lambert, Ghent University, Ledeberg-Ghent, Belgium.
Georg Langs, Ecole Centrale, France.
Yue Li, CSIRO ICT Centre, Sydney, Australia.
Xavier Maldague, Universite de Laval, Quebec, Canada.
Gerard Medioni, USC/IRIS, Los Angeles, USA.
Fabrice Meriaudeau, IUT Le Creusot, Le Creusot, France.
Alfred Mertins, Universitaet zu Luebeck, Luebeck, Germany.
Amar Mitiche, INRS, Montreal, Canada.
Rafael Molina, Universidad de Granada, Granada, Spain.
Adrian Munteanu, Vrije Universiteit Brussel, Brussels, Belgium.
Vittorio Murino, Universita degli Studi di Verona, Verona, Italy.
Frank Nielsen, Ecole Polytechnique - Sony CSL, Palaiseau, France.
Nikos Paragios, Ecole Centrale de Paris, Chatenay-Malabry, France.
Jussi Parkkinen, University of Joensuu, Joensuu, Finland.
Fernando Pereira, Instituto Superior Tecnico, Lisbon, Portugal.
Stuart Perry, Canon Information Systems Research, Sydney, Australia.
Beatrice Pesquet-Popescu, ENST, Paris, France.
Aleksandra Pizurica, Ghent University, Ghent, Belgium.
Andre Quinquis, ENSIETA, Brest, France.
Gianni Ramponi, Trieste University, Trieste, Italy.
Paolo Remagnino, Faculty of Technology, Kingston University, Surrey, UK.
Philippe Salembier, UPC, Barcelona, Spain.
Luis Salgado Alvarez de Sotomayor, Universidad Politecnica, Madrid, Spain.
Jonathan Starck, University of Surrey, Guildford, UK.
Hugues Talbot, ESIEE, Noisy-le-Grand, France.
Frederic Truchetet, Universite de Bourgogne, Le Creusot, France.
Dimitri Van De Ville, EPFL, Lausanne, Switzerland.
Ewout Vansteenkiste, Ghent University, Ghent, Belgium.
Peter Veelaert, University College Ghent, Ghent, Belgium.
Djemel Ziou, Sherbrooke University, Sherbrooke, Canada.
------------------------------
From: James Coughlan <coug...@ski.org>
Subject: CFP : WS on CV for Visually Impaired - France - 01JUL2008
Workshop on Computer Vision Applications for the Visually Impaired
(CVAVI 08)
Marseille, France, Oct. 18, 2008
A Satellite Workshop of ECCV 2008
Workshop Chairs:
James Coughlan, Smith-Kettlewell Eye Research Institute
Roberto Manduchi, UC Santa Cruz
URL: http://www.ski.org/Rehab/Coughlan_lab/General/CVAVI08.html
BRIEF DESCRIPTION:
A growing number of computer vision researchers are becoming interested
in applications for persons with visual impairments (VI), including low
vision and blindness. This workshop aims to bring together computer
vision researchers and experts in VI rehabilitation and assistive
technology. Attendance by VI experts outside the computer vision
community will also be encouraged. By addressing the context in which
assistive technology is used and designed, the workshop seeks to help
researchers identify fruitful areas of overlap between the most pressing
needs of the VI population and the capabilities of computer vision
technology. A general discussion session at the end of the workshop
will facilitate the exchange of ideas between computer vision
researchers and VI experts.
Paper submission date (tentative):
Tuesday, July 1, 2008
------------------------------
From: "Adrian F. Clark" <al...@essex.ac.uk>
Subject: CFP : EPSRC Computer Vision Summer School - UK - 06JUL2008
Organization: University of Essex
The EPSRC sponsors an annual summer school on computer vision, which
is managed, arranged and publicised by members of the BMVA. Speakers
on the Summer School are academic researchers or experienced
practitioners from industry.
This year's Summer School will be held the Department of Computing and
Electronic Systems of the University of Essex from 6th to 11th July
2008. The course is residential and is free to EPSRC-sponsored
students, except for travel. For others, the summer school costs
=A3500.
The course is intensive and is aimed at graduate students in the
fields of Computer Vision, Pattern Recognition and Digital Imaging.
The Summer School has been running for over a decade and is updated
every year to ensure it covers the state of the art, broadens
awareness of related research fields, and develops research skills.
For further details and the application form, please point your web
browser at http://www.bmva.org/summer/
------------------------------
From: Jonathan Kofman <jko...@engmail.uwaterloo.ca>
Subject: CFP : Optomechatronic CV Systems - San Diego, USA - 01JUN2008
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: June 1, 2008
Notification of Acceptance: August 1, 2008
Final Paper and Summary Due: September 1, 2008