VISION-LIST digest 26.9
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Today's Topics:
Q&A : Ground truthed video of group interactions
JOB : Research Engineer - Photometria - San Diego, CA
JOB : Sr Staff Scientist - Lumidigm - Albuquerque, NM
JOB : CV Scientist - GE
JOB : Postdoc - IDIAP Research Institute - Lausanne SW
JOB : Postdoc - Alcorn State Univ - MS
JOB : RA - Alcorn State Univ - MS
CFP : IJCV Special Issue: Articulated Human Motion and Pose Estimation
CFP : WS Active Vision of Humanoid Robots - Pittsburgh, PA - 29NOV2007
CFP : BCBGC-08 Call for papers
CFP : 2008 Int Conf AIPR - Orlando, FL - 7JUL2008
CFP : RE: BMVA Symposium: Shape
CFP : BMVA 3D Video WS - London - 14DEC2007
CFP : 32nd WS Austrian PR - Austria - 16FEB2008
CFP : CV Scientist - GE
REFS : Vision software development
----------------------------------------------------------------------
From: Bob Fisher <r...@inf.ed.ac.uk>
Subject: Q&A : Ground truthed video of group interactions
Hi - I'd like to introduce ground-truth labeled video sequences
with interacting groups:
http://groups.inf.ed.ac.uk/vision/BEHAVEDATA/INTERACTIONS/
The dataset has various scenario's of people acting out 10 types of
group interactions: InGroup, Approach, WalkTogether, Split, Ignore,
Following, Chase, Fight, RunTogether and Meet. The data includes
individual interacting in groups and groups interacting.
The data is captured at 25 frames per second. The resolution is 640x480.
The videos are available either as AVI's or as single JPEG files. About
70K frames of the video sequences have ground truth bounding boxes of
the people so far, in the VIPER XML format.
There is data for a ground plane homography.
.......
Can I also mention other sites that might interest you or your new students:
the CAVIAR ground-truthed video sequence data
http://groups.inf.ed.ac.uk/vision/CAVIAR/CAVIARDATA1/
BEHAVE's crowd sequence data
http://groups.inf.ed.ac.uk/vision/BEHAVEDATA/CROWDS/
CVonline (online vision "encyclopedia") now extended with
subtrees on visual neurophysiology and psychophysics, and a
list of imaging/vision related books:
http://homepages.inf.ed.ac.uk/rbf/CVonline/
HIPR2 - JAVA-based interactive image processing tutorials
including a pull-down plug-together workspace
http://homepages.inf.ed.ac.uk/rbf/HIPR2/
Enjoy, Bob
The development of the BEHAVE data was funded by the
UK's EPSRC in the BEHAVE project.
------------------------------
From: David Kriegman <krie...@photometria.com>
Subject: JOB : Research Engineer - Photometria - San Diego, CA
Photometria Inc. is a well funded San Diego startup company that is
redefining personal photo enhancement. We are creating a playful
destination web site where users can explore, change, and improve their
appearance using one-click photo-realistic enhancements to create and
realize a stunning new image. Underneath an intuitive interface and
hidden from the user, Photometria, a spinoff from the University of
California, San Diego (UCSD), exploits a confluence of technologies in
computer vision, computer graphics, and machine learning.
Are you a computer vision or graphics researcher who loves to build high
impact systems? Are you stoked to create highly interactive and visual
applications? Do your friends like using them? Do you want millions of
people to use your work Would you thrive in the fast moving and fun
environment of a startup? If you answered "yes" to these questions, then
Photometria wants you!
Responsibility: Research & implement various computer vision, graphics,
and machine learning algorithms for photo enhancement and particularly
oriented toward faces.
Qualifications:
Candidate should be creative and thrive in a fast paced environment
where no two days are the same.
1. MS/Ph.D. or significant (> 5 years) recent job experience in
vision and/or graphics required.
2. Experience in at least one of the following fields is desired
* Image based modeling and rendering.
* Computational photography.
* Face processing -- Facial feature detection/recognition,
pose estimation, 3D face modelling from images, illumination estimation,
skin processing (detection, color correction, skin enhancement).
* Image enhancement (geared toward human faces).
* Machine learning a plus
3. Strong programming background (C++ & MATLAB). Knowledge of
ActionScript is desired but not required.
4. Strong mathematical background
Full time position at San Diego, California.
Apply: Email your CV to jo...@photometria.com . Include references to
papers written or a web site describing your work. You can start as soon
as possible and the pay is negotiable.
------------------------------
From: "Webb Johnson" <wjoh...@lumidigm.com>
Subject: JOB : Sr Staff Scientist - Lumidigm - Albuquerque, NM
Senior Staff Scientist, Pattern Recognition and Image Analysis
Responsibilities:
Develop, implement, and optimize new image processing and pattern
recognition algorithms for verification, identification, and
spoof-detection based on multispectral fingerprint images. Key player in
the planning of tests performed on sizeable volunteer populations.
Responsible for the analysis and interpretation of data generated in
such studies. Use the findings from such studies and other experimental
work to improve and/or verify algorithmic performance.
Works with:
* Software engineering to implement computationally efficient algorithms
* Marketing to develop solutions meeting customer needs & product
constraints
* Human testing to setup studies to evaluate and optimize performance
characteristics
Professional experience
Minimum 8 years of relevant, post-degree industry and/or academic
experience. Demonstrated capability of implementing a variety of image
processing and pattern recognition algorithms. Familiar with data-driven
modeling and statistical classification methods (e.g. discriminant
analysis, Bayesian methods, support vector machines, neural networks,
etc). Knowledge of linear and nonlinear image processing techniques.
Ability to program in Matlab, C++, and/or other modern languages
required. Familiarity with multispectral imaging desired. Familiarity
with biometrics, particularly fingerprints, desired.
Professional qualities
* Creative and innovative
* Goal-oriented problem solver
* Data-driven and detail oriented
* Able to efficiently understand, test and optimize complex algorithms
as part of a larger system
Education
PhD with 7-10 years of industry experience.
------------------------------
From: "Adiga, Umesha P (GE, Research)" <ad...@ge.com>
Subject: JOB : CV Scientist - GE
The people at GE Global Research, powered by ideas and with the
resources of one of the world's most successful companies, are
passionate about bringing breakthrough innovations to life. People who
believe, "what we imagine, we can make happen."
As a computer vision scientist, you will invent, develop and implement
software algorithms to automatically detect objects and understand
events in images and video. Often, your algorithms will be jointly
optimized with the physics of the imaging sensor.
As a Computer Vision Scientist, you will be part of a multidisciplinary
team responsible for determining the technical approach to identify and
extract features from imagery and video; inventing and implementing
algorithms, leveraging C++ libraries; developing and inventing
understanding/detection algorithms to quantify imagery; developing and
inventing visualization algorithms to present quantified information to
user.
You will:
* Invent and develop image analysis algorithms.
* Document research results in patent disclosures and peer-reviewed
technical publications.
* Communicate with professionals (government officials, security guards,
inspectors, etc) that inspect imagery/video to understand new ways for
software algorithms to improve system performance.
* Team with image hardware researchers to jointly optimize computer
vision software with the imaging device.
* Maintain high-quality, well-documented C++ code to contribute to both
open source and proprietary computer vision code base.
* Effectively communicate results by preparing written reports and
making presentations describing analyses performed, solutions developed,
and value obtained.
QUALIFICATIONS
* YOU MUST BE ABLE TO SATISFY THE REQUIREMENTS OF SECTION 19 OF THE
FEDERAL DEPOSIT INSURANCE ACT.
* Doctorate in electrical engineering, computer science or related field
with proven academic research results in computer vision.
* Strong C++ skills, including experience with C++ open source libraries
such as VXL.
* Minimum of 3 referred publications.
* Domain knowledge in one of the following areas: medical imagery,
surveillance video, automated inspection or multimedia.
* Must be willing to travel globally for one-to-three week periods, one
to three times per year.
* Must be willing to work out of an office located in Niskayuna, NY.
* Must be willing to take a drug test and submit to a background
investigation as part of the selection process.
* Must be 18 years or older.
* If currently a GE Employee, you must have been in your current
position for at least 24 months and have at least a satisfactory
performance rating.
* You must submit your application for employment through GECareers.com
to be considered.
DESIRED
* Experience making technical contributions to government proposals for
research funding.
* Experience with machine learning algorithms, automated video
surveillance, or multimedia image understanding.=20
* Unrestricted work authorization in the U.S.
* Strong analytical skills.
* Ability to work across all functions/levels as part of a globally
dispersed team.
* Strong interpersonal skills.
* Strong communication skills; ability to present technology to
non-technologists.
GENERAL
Imaging Technologies is a multi-disciplinary and diverse organization
with ~170 researchers innovating and developing technology in the areas
of Computed Tomography, Magnetic Resonance Imaging, Positron Emission
Tomography, Ultrasound, Digital X-ray, Electromagnetic and
Superconductivity systems, and Visualization and Computer Vision. Since
the invention of the modern medical x-ray tube in 1913 by GE scientist
William Coolidge, we have been imagining and building new ways for
clinicians to see inside the human body, and this history of imaging
system breakthroughs has kept GE at the forefront of medical imaging.
Today, our scientists are exploring new applications for imaging in both
the security and industrial non-destructive testing spaces. At the same
time, we are charting new territory in the emerging field of molecular
imaging, where medical imaging meets genomics research. Our researchers
are finding new ways to see beyond structures in the body and image
cellular function. This work holds the potential to discover diagnostic
methods for identifying diseases before traditional symptoms appear - a
breakthrough that would shift the healthcare paradigm from "see and
treat" to "predict and prevent".
As a Computer Vision scientist, you will report directly to the Lab
Manager for the Visualization and Computer Vision Lab. This position is
eligible for the GE Global Research Employee Referral program.
------------------------------
From: Jean-Marc Odobez <odo...@idiap.ch>
Subject: JOB : Postdoc - IDIAP Research Institute - Lausanne SW
The IDIAP Research Institute, an EPFL laboratory (Swiss Federal
Institute of Technology, Lausanne) seeks immediately one qualified
postdoctoral researcher in the field of computer vision and machine
learning.
The postdoc will work in the framework of the AMI/AMIDA EU project
jointly lead by IDIAP and the University of Edinburgh, which addresses
the general issue of computer enhanced multi-modal interaction in the
context of meetings.
The postdoc research will address the issue of Non-Verbal communication
analysis in meetings, with a focus on the design of a close to real-time
Head tracking and Pose estimation algorithm to be used for estimating
the Visual Focus of Attention of meeting participants. The research
will build on several years of experience gained by IDIAP on this topic,
and will be conducted in collaboration with researchers working on
Human-Centered computing.
The successful candidate will have a PhD and experience in at least 2
of the following fields:
- computer vision or image processing
- machine learning, pattern recognition or statistical techniques
- tracking, preferably within a probabilistic framework.
In addition, the candidate should have a strong background in C++
programming, preferably under a Linux environment, and be interested in
working towards a live demonstrator of the investigated techniques and
models. Experience in face modeling would be an asset. The applicant
should have good demonstrated skills in written and spoken English.
The initial Postdoctoral position is for one year, with a possibility of
1 year extension. Annual gross salary ranges from ChF 65000 to ChF 75000
(depending on qualifications and experience). The position is open
immediately.
Interested candidates should send a letter of motivation, along with
their detailed CV, electronic transcripts of B.S. and M.S. degrees and
names of 3 references to mailto:jo...@idiap.ch . Please precise the
adequate job reference (AMIDA-VFOA). More information can also be
obtained by contacting Jean-Marc Odobez ( mailto:odo...@idiap.ch ),
or Alex Jaimes ( mailto:aja...@idiap.ch ).
References:
- website IDIAP: http://idiap.epfl.ch or http://www.idiap.ch
- website AMI/AMIDA: http://www.amiproject.org/ami-scientific-portal
About IDIAP:
IDIAP is an equal opportunity employer and is actively involved in the
European initiative involving the Advancement of Women in
Science. IDIAP seeks to maintain a principle of open competition (on
the basis of merit) to appoint the best candidate, provides equal
opportunity for all candidates, and equally encourages both females
and males to consider employment with IDIAP.
Although IDIAP is located in the French part of Switzerland, English
is the main working language. Free French lessons are provided.
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. It
is within close proximity to Montreux (Jazz Festival) and Lausanne.
------------------------------
From: "Jinshan Tang" <jt...@alcorn.edu>
Subject: JOB : Postdoc - Alcorn State Univ - MS
Post-doctoral research associate for image processing
Alcorn State University Department of Advanced Technologies has an opening
for post-doctor research associate for 3-D image processing. The Systems
Research Institute (SRI) serves to support the strategic vision of the university
as it relates to research defined by the President through creation and application
of cutting edge technology and expertise in digital image processing, pattern
recognition, artificial intelligence, geospatial technologies, robotics and
automation, software engineer, energy research, sensors and sensor networks.
The institute is committed to delivering high technology products which may
be commercialized through the agency of a high technology incubator situated
in southwest Mississippi. The initial appointment is 12 months with a possible
extension based on available funds and his/her performance. Current on-going
research is funded by USA. F.
Responsibilities: The Post-doctoral Research Associate must perform the following
duties:
* Develop 3-D pattern recognition algorithms for 3-D human body recognition..
* Develop 3-D image pre-processing algorithm for 3-D human body recognition
* Develop 2-D human body tracking algorithm
* Write scientific papers and reports.
QUALIFICATIONS
* Ph.D degree in EE, CS, Mathematics
* Fluent in Matlab , OpenGL, and VC++ programming
* Strong image processing, pattern recognition and mathematics background
* Priority will be given to the Applicants who have USA working permission and
is currently residing in the USA.
REQUIREMENTS
* At least 3 years image processing research experience
* At least 5 years of Programming Experience.
* At least one year 3-D image processing research experience
Application: Interested person(s) should submit three letters of recommendation,
an Alcorn State University application, a resume and transcript(s) to:
Jinshan Tang, Assistant Professor
Department of Advanced Technologies
School of Agriculture, Research, Extension and Applied Sciences
1000 ASU Drive #360, Alcorn State University,
Alcorn State, MS 39096-7500
mailto:jt...@alcorn.edu
------------------------------
From: "Jinshan Tang" <jt...@alcorn.edu>
Subject: JOB : RA - Alcorn State Univ - MS
Research assistant position for Master student.
I have a research assistant position for Master student.
REQUIREMENTS
* At least 1 years image processing research experience
* At least 3 years of C++ Programming Experience.
Application: Interested person(s) should submit three letters of recommendation,
an Alcorn State University application, a resume and transcript(s) to:
Jinshan Tang, Assistant Professor
Department of Advanced Technologies
School of Agriculture, Research, Extension and Applied Sciences
1000 ASU Drive #360, Alcorn State University
Alcorn State, MS 39096-7500
mailto:jt...@alcorn.edu
------------------------------
From: Leonid Sigal <l...@cs.brown.edu>
Subject: CFP : IJCV Special Issue: Articulated Human Motion and Pose Estimation
CALL FOR PAPERS
International Journal of Computer Vision (IJCV)
Special Issue On: Evaluation of Articulated Human Motion and Pose Estimation
GUEST EDITORS:
Michael J. Black Brown University (bl...@cs.brown.edu)
Leonid Sigal Brown University (l...@cs.brown.edu)
AIM AND SCOPE:
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 by the lack of common datasets and error metrics for
quantitative comparison. The goal of this special issue is to
quantitatively establish the current state of the art in the human pose
estimation and tracking from single and multiple camera views, using a
common benchmark (HumanEva) database and error metrics.
The HumanEva datasets ( http://vision.cs.brown.edu/humaneva/ ) contain
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.). Error metrics for
computing error in 2D and 3D pose are also provided to allow comparison
of different methods on equal footing. The dataset contains training,
validation and testing (with withheld ground truth) sets. The
performance on testing sequences can be evaluated using on-line
evaluation service. For detailed description of the procedure that
should be followed for testing and evaluation of results please see
http://www.cs.brown.edu/people/ls/ehum2/submit.html .
This is an open call-for-papers. While submissions from the NIPS EHuM and
IEEE CVPR EHuM2 workshops were invited to submit extended versions of
their contributions, this does not guarantee acceptance to the special
issue. Submissions from outside the two workshops are also strongly
encouraged and will be considered on equal grounds. All manuscripts will
be reviewed according to rigorous external IJCV reviewing policy to assure
quality of the contributions.
The list of possible topics of interest to the special issue includes (but
is not limited to) the following:
-- Tracking and pose estimation (in 2D and 3D);
-- Articulated body models;
-- 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.
Submission Procedure: --------------------- Manuscripts of full journal
length with detailed experimental results using (but not limited to)
HumanEva datasets are solicited for submission. Due to the
retrospective and prospective nature of the special issue, 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. The latter are expected to contain extensive
experimental and discussion sections that go sufficiently beyond
experiments presented in the original publication. Submissions should
follow the guidelines set out by IJCV and will be reviewed accordingly.
Authors should submit manuscripts via IJCV website,
http://visi.edmgr.com, by choosing ``Special Issue - EHuM'' as the
Article Type.
Submission Deadline: January 11, 2008
------------------------------
From: Yiannis Aloimonos <yia...@cfar.umd.edu>
Subject: CFP : WS Active Vision of Humanoid Robots - Pittsburgh, PA - 29NOV2007
WORKSHOP
THE ACTIVE VISION OF HUMANOID ROBOTS
Organized by
Yiannis Aloimonos and Giulio Sandini
November 29, 2007
Omni William Penn Hotel, 530 William Penn Pl., Pittsburgh, PA 15219
Together with the IEEE-RAS 7th International onference
on Humanoid Robots
http://planning.cs.cmu.edu/humanoids07/index.shtml
Practical computer vision-systems are devoted to answering a set of
practical questions, such as is there something moving independently in
the video taken by a moving camera? What is it? Is there a human in the
image? Who is he? On the other hand, biological vision systems are
involved in an ongoing process of analyzing images. As Stuart Geman
wrote, "real world images have essentially infinite detail which can be
perceived only by a process that is itself ongoing and essentially
infinite. The more you look, the more you see". Considering a humanoid
robot, how should we think about its vision? The way we think of a
practical vision system or the way we think of a biological vision
system?
The current state of the art does not have a definite answer. But even
if some of you adapt the bio-inspired or bio-mimetic viewpoint, how
should we proceed? Should we think of the humanoid as performing
unconscious inference about the world? Should we think of the humanoid
as developing a data structure that represents the components of the
scene and their relationships, like building a complex molecule whose
atoms and bonds represent scene primitives and their relationships? Or
should we follow the conventional wisdom that we inherited from D. Marr
where vision amounts to a high resolution buffer and the job is to
annotate a scene (human here, dog there) through a complicated search
involving attention?
The goal of the workshop would be to present various points of view on
these problems while keeping some focus on the question of the visual
architecture of the humanoid: how should its motion system be
structured? Should it stabilize the images? Segment the scene into
surfaces? Constantly check where it is with regard to its knowledge of
the world? How should it build models of objects? How should it
integrate cue information? How should it reach a decision? What is its
perception of spatial layout?
Is there software that we have today which can be used to provide
humanoids with a basic visual front-end, and what would this be? Should
we be developing visuo-motor representations? How could we build them
and how could we use them?
We will also be addressing questions such as: what kind of information
should the humanoid extract from images and video? Should that
information be expressed in some language? Should vision produce one
general purpose description leaving it to other processes to transform
it to suit their needs or should it produce many specialized
descriptions? Could intermediate level vision be learned? How?
To shed light on these questions we have invited a few prominent
researchers from the field. We hope you will join us in Pittsburgh for
an exciting day of presentations and panel discussions. The Workshop
program follows.
Workshop Program (9:00am to 7:00 pm; lunch 12-1)
9:00-9:05: Introduction and welcome - Y. Aloimonos and G. Sandini
9:05-9:30: Y. Aloimonos: The compositionality of Vision and Action
9:30-10:00: Dana Ballard: The role of gaze control in embodied cognition
10:00-10:30: James Albus: A model of computation and representation in
visual cortex
11:00-11:30: Eric Schwartz: Space-variant active vision: hallmark of an
unsolved Challenge for human(oid) vision
11:30-12:00: Y. Sagakami: 3D eyes in the Honda Humanoid Robot
1:00-1:30: Bert Shi: Building active vision systems with POPCORN: hardware
Simulating POPulations of CORtical
Neuron models
1:30-2:00: Ming-Hsuan Yang: Incremental learning for robust visual tracking
2:00-2:30: Kostas Daniilidis: Challenges in navigation of humanoids
2:30-3:00: Michelle Rucci: Eye movements in humans and humanoids
3:30-4:00: Jan-Olof Eklundh: Attention and 3D cues in active vision
4:00-4:30: Randal Nelson: The curse of arithmetic
4:30-5:00: Abhijit Ogale: Patterns in human(oid) motion synergies
5:00-5:30: Ruzena Bajcsy: Representation and Recognition of Human Action
5:30-6:00: Giulio Sandini: Humanoid Vision
6:00-6:45: Panel Discussion (Emphasis will be given to learning middle
level vision with short presentations and questions)
------------------------------
From: "John E. Edward" <jeed...@gmail.com>
Subject: CFP : BCBGC-08 Call for papers
------=_Part_9971_14027193.1193269406431
Content-Type: text/plain; charset=ISO-8859-1
Content-Transfer-Encoding: 7bit
Content-Disposition: inline
*Apologies if you receive multiple copies. Please forward to interested
people*
The 2008 International Conference on Bioinformatics, Computational Biology,
Genomics and Chemoinformatics (BCBGC-08) (website:
www.PromoteResearch.org<http://www.promoteresearch.org/>) will be held
during July 7-10 2008 in Orlando, FL, USA. We invite draft
paper submissions and session proposals. The conference will be held at the
same time and place where several other major events are taking place. The
website contains more details.
Sincerely
John Edward
*Please email to the above address in case you do not wish to receive
further emails on this*
------=_Part_9971_14027193.1193269406431
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: 7bit
Content-Disposition: inline
<p class="MsoNormal" style="MARGIN: 0in 0in 0pt"><font face="Times New Roman">*Apologies if you receive multiple copies. Please forward to interested people*</font></p>
<p class="MsoNormal" style="MARGIN: 0in 0in 0pt"><font face="Times New Roman"> </font></p>
<p class="MsoNormal" style="MARGIN: 0in 0in 0pt"><font face="Times New Roman">The 2008 International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics (BCBGC-08) (website: </font><a href="http://www.promoteresearch.org/">
<font face="Times New Roman">www.PromoteResearch.org</font></a><font face="Times New Roman"> ) will be held during July 7-10 2008 in Orlando, FL, USA. We invite draft paper submissions and session proposals. The conference will be held at the same time and place where several other major events are taking place. The website contains more details.
</font></p>
<p class="MsoNormal" style="MARGIN: 0in 0in 0pt"><font face="Times New Roman"> </font></p>
<p class="MsoNormal" style="MARGIN: 0in 0in 0pt"><font face="Times New Roman">Sincerely</font></p>
<p class="MsoNormal" style="MARGIN: 0in 0in 0pt"><font face="Times New Roman">John Edward</font></p>
<p class="MsoNormal" style="MARGIN: 0in 0in 0pt"><font face="Times New Roman"> </font></p>
<p class="MsoNormal" style="MARGIN: 0in 0in 0pt"><font face="Times New Roman">*Please email to the above address in case you do not wish to receive further emails on this*</font></p>
------=_Part_9971_14027193.1193269406431--
------------------------------
From: Bhanu Prasad [mailto:bhan...@gmail.com]
Subject: CFP : 2008 Int Conf AIPR - Orlando, FL - 7JUL2008
The 2008 International Conference on Artificial Intelligence and Pattern
Recognition (AIPR-08) will be held during July 7-10 2008 in Orlando, FL,
USA. You can see more details about the conference (and some other
conferences that will be held at the same place and time) at the website:
http://www.PromoteResearch.org
Please feel free to contact me.
Best regards, B. Prasad
Program Committee Co-Chair of AIPR-08
------------------------------
From: Simon Prince <s.pr...@cs.ucl.ac.uk>
Subject: CFP : RE: BMVA Symposium: Shape
IMPORTANT! Please register at the e-mail address below if you are =
planning
to attend this meeting, even if you play to pay on the day.
SHAPE REPRESENTATION, ANALYSIS AND PERCEPTION
=20
One Day British Machine Vision Symposium
MPEB Building (CS Dept), University College London
November 5th 2007.
Chairs: Professor Edwin Hancock (University of York) and
Dr Will Smith (University of York).
10.00 Registration and coffee
10.25 Welcome and Introduction
10.30 Shape priors and image segmentation (invited speaker)
Daniel Cremers (Bonn U.)
11.15 Completing unkown portions of 3D scenes by propagation
Toby Breckon (Cranfield University)
11.45 Magnetostatic active contours
Xianghua Xie and Majid Mirhmedi (U. of Bristol)
12.15 Learning shape manifolds using diffusion maps
Nasir Rajpoot (U. of Warwick)
12.45 Lunch
13.45 Procrustes Methods for Projective Shape
John Kent and Kanti Mardia (U. of Leeds) =20
14.15 Segmentation of lip shape using and SVM classifier and level sets
methods
Akiel Khan, Bill Christmas and Josef Kittler (U. of =
Surrey)
14.45 Shape representation with shock graphs and medial scaffolds
Frederic Fol Leymarie (Goldsmiths College, London)
15.15 Tea and Coffee
15.30 Shape information: using state-space to select a
discriminative configuration of points
Manuel Boisenin (Sheffield Hallam University)
16.00 Classification of the local symmetry of an image=20
using a Gaussian derivative filter bank
Lewis Griffin (University College London)
16.30 Closing remarks and finish
Meeting Programme Details: www.bmva.ac.uk/meetings
Directions: http://www.cs.ucl.ac.uk/getting_here.html
REGISTRATION FORM: 5th November 2007 Meeting
Please return this form to BMVA Secretary, Royston Parkin, 95 Queen =
Street,
Sheffield, S1 1WG, Tel 0114 272 0306, Fax 0114 272 6158 or via email to
BM...@roystonparkin.co.uk. The meeting is free to members of the BMVA but =
a
charge of =A320 is payable by non-members. A sandwich lunch is available =
at a
cost of =A35 and should be booked in advance. When registering please =
enclose
a cheque for the appropriate amount made payable to "The British Machine
Vision Association".
NAME: ...................................
ADDRESS: ...................................
...................................
TEL: ................................... =09
E-MAIL: ...................................
BMVA MEMBER: YES/NO
LUNCH: YES/NO
VEGETARIAN: YES/NO=09
------------------------------
From: Simon Prince <s.pr...@cs.ucl.ac.uk>
Subject: CFP : BMVA 3D Video WS - London - 14DEC2007
BMVA
British Machine Vision Association and Society for Pattern Recognition
Call for Participation
3D Video: Analysis, Display and Applications
http://www.bmva.ac.uk/meetings
One Day BMVA symposium, London, UK on 6th February, 2008
Chairs: Dr. David Marshall (Cardiff University), Prof. Adrian Hilton
(University of Surrey), Prof. Stephen Richmond (Cardiff University),
Prof. Bob Fisher (Edinburgh University)
Recent advances in camera technology and computing power have made the
acquisition of fast frame rate 3D video feasible : some commercial
systems have even been produced. However, subsequent 3D video processing
and analysis tools are still fairly embryonic. Whilst it is possible to
utilise existing 3D computer vision and image processing tools to
perform some tasks, no off-the-shelf processing packages have been
developed and indeed it is still an open ended research issue in to how
such data may be processed and analysed effectively.
However, the potential for 3D video in entertainment, multimedia,
security, medical and many other application areas is great. 3D imaging
has many advantages over 2D image and the same potential now exists in
the video domain. For example, humans readily recognise emotion and even
identity in a the dynamics of a human facial motion, modelling the
dynamics of how faces age/change over time has huge potential in film,
forensics and medical applications and, also, in a medical domain the
potential to detect the onset of certain diseases, such as muscle
wasting diseases and strokes, in 3D dynamic facial data.
Emerging display technologies allow for the direct input of 3D video
data, although issues still arise as to how to efficiently utilise more
traditional displays. Rendering and visualisation of 3D video has many
applications, for example, in rendering a person's dynamic facial
appearance before and after corrective surgery. In a more traditional
sense, the visualisation of two dimensional video sequences in a 3D
video space is a related issue with applications in surveillance and
security, for example. The areas of multiview 3D reconstruction and view
synthesis for 3D video are also relevant.
The aim of this meeting is to provide a forum for the discussion of
recent results in 3D video creation, processing/analysis, visualisation
and display technologies and applications.
Please submit an extended summary of about one A4-sized page (no longer
than two pages) in length (PDF preferred). Send contributions by email
attachment (1Mb max please!) to Dr David Marshall
9 mailt:da...@cs.cardiff.ac.uk ) by Friday December 14th, 2007.
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From: Arjan Kuijper <arjan....@oeaw.ac.at>
Subject: CFP : 32nd WS Austrian PR - Austria - 16FEB2008
CALL FOR PAPERS OAGM 2008
Challenges in the Biosciences:
Image Analysis and Pattern Recognition Aspects
32nd OAGM/AAPR workshop, May 26-27 2008
Bildungszentrum St. Magdalena, Linz, Austria
Homepage:
http://www.ricam.oeaw.ac.at/workshops/oeagm08/
Contact: arjan....@oeaw.ac.ac.at
Flyer:
http://www.ricam.oeaw.ac.at/workshops/oeagm08/down/Call4PapersOagm08_small.pdf
The 32nd annual workshop of the Austrian Association for Pattern
Recognition (OAGM/AAPR) provides a platform for researchers in the
fields of Image Analysis, Image Processing, and Pattern Recognition to
discuss important topics of the computer vision discipline. It is
organized in workshop form presenting the latest work of both Austrian
and international institutes. Theme of the 32nd workshop is "Challenges
in the Biosciences: Image Analysis and Pattern Recognition Aspects".
We cordially welcome submissions in these fields, as we plan a dedicated
session to these topics. Further topics relate to all aspects covered by
the OAGM/AAPR community: image analysis & processing, and pattern
recognition They traditionally include, but are not limited to:
* image acquisition,
* image / video processing and analysis,
* color imaging,
* image databases,
* image synthesis,
* digital rights protection,
* motion analysis and tracking,
* interactive systems,
* reconstruction from multiple views,
* view registration,
* mixed-reality applications,
* other
Confirmed Invited Speakers:
Prof. Fred Hamprecht, University of Heidelberg, Germany
Prof. Lucas J. van Vliet, Delft University of Technology, the Netherlands
Prof. Wiro Niessen, Erasmus MC - University Medical Center Rotterdam, the Netherlands
Paper Review:
The paper page limit is 12 (submission and camera ready). Papers have
to be written in English. Formatting instructions and templates are
available on the web page. The paper has to be submitted electronically
via the web page starting by 10. Jan. 2008. Submission and presentation
of a similar paper at another international conference is no reason for
rejection. Please consider the strict submission deadline. Accepted
papers based on 3 independent reviews have to be presented orally or as
poster. Proceedings are intended to be published as OCG workshop
proceedings ( http://www.ocg.at ).
Important dates:
16. February 2008 Submission of full papers
05. March 2008 Notification of acceptance
30. March 2008 Submission of final papers
26-27. May 2008 Workshop
Program Committee:
C. Beleznai (Advanced Computer Vision Austria)
H. Bischof (TU Graz)
J. Boulanger (Institut Curie)
M. de Bruijne (University of Copenhagen & Erasmus University Rotterdam)
M. Burge (Noblis, Washington D.C.)
W. Burger (FH Hagenberg)
D. Chetverikov (Hungarian Academy of Sciences)
C. Eitzinger (Profactor, Austria)
M. Haller (FH Hagenberg)
V. Hlavac (TU Prague)
W. Kropatsch (TU Vienna)
A. Leonardis (Univ. Ljubljana)
M. Loog (University of Copenhagen & Delft University of Technology)
E. Meijering (Erasmus University, Rotterdam)
G. Paar (Joanneum Research, Graz)
L. Paletta (Joanneum Research, Graz)
A. Pinz (TU Graz)
R. Sablatnig (TU Vienna)
R. Sara (TU Prague)
O. Scherzer (Univ. Innsbruck)
W. Schneider (Boku Vienna)
E. Schuster (Med. Univ. Vienna)
A. Uhl (Univ. Salzburg)
M. Vincze (TU Vienna)
------------------------------
From: "Adiga, Umesha P (GE, Research)" <ad...@ge.com>
Subject: CFP : CV Scientist - GE
The people at GE Global Research, powered by ideas and with the
resources of one of the world's most successful companies, are
passionate about bringing breakthrough innovations to life. People who
believe, "what we imagine, we can make happen."
As a computer vision scientist, you will invent, develop and implement
software algorithms to automatically detect objects and understand
events in images and video. Often, your algorithms will be jointly
optimized with the physics of the imaging sensor.
As a Computer Vision Scientist, you will be part of a multidisciplinary
team responsible for determining the technical approach to identify and
extract features from imagery and video; inventing and implementing
algorithms, leveraging C++ libraries; developing and inventing
understanding/detection algorithms to quantify imagery; developing and
inventing visualization algorithms to present quantified information to
user.
You will:
* Invent and develop image analysis algorithms.
* Document research results in patent disclosures and peer-reviewed
technical publications.
* Communicate with professionals (government officials, security guards,
inspectors, etc) that inspect imagery/video to understand new ways for
software algorithms to improve system performance.
* Team with image hardware researchers to jointly optimize computer
vision software with the imaging device.
* Maintain high-quality, well-documented C++ code to contribute to both
open source and proprietary computer vision code base.
* Effectively communicate results by preparing written reports and
making presentations describing analyses performed, solutions developed,
and value obtained.
Qualifications
* YOU MUST BE ABLE TO SATISFY THE REQUIREMENTS OF SECTION 19 OF THE
FEDERAL DEPOSIT INSURANCE ACT.
* Doctorate in electrical engineering, computer science or related field
with proven academic research results in computer vision.
* Strong C++ skills, including experience with C++ open source libraries
such as VXL.
* Minimum of 3 referred publications.
* Domain knowledge in one of the following areas: medical imagery,
surveillance video, automated inspection or multimedia.
* Must be willing to travel globally for one-to-three week periods, one
to three times per year.
* Must be willing to work out of an office located in Niskayuna, NY.
* Must be willing to take a drug test and submit to a background
investigation as part of the selection process.
* Must be 18 years or older.=20
* If currently a GE Employee, you must have been in your current
position for at least 24 months and have at least a satisfactory
performance rating.
* You must submit your application for employment through GECareers.com
to be considered.
DESIRED
* Experience making technical contributions to government proposals for
research funding.
* Experience with machine learning algorithms, automated video
surveillance, or multimedia image understanding.=20
* Unrestricted work authorization in the U.S.
* Strong analytical skills.
* Ability to work across all functions/levels as part of a globally
dispersed team.
* Strong interpersonal skills.
* Strong communication skills; ability to present technology to
non-technologists.
General
Imaging Technologies is a multi-disciplinary and diverse organization
with ~170 researchers innovating and developing technology in the areas
of Computed Tomography, Magnetic Resonance Imaging, Positron Emission
Tomography, Ultrasound, Digital X-ray, Electromagnetic and
Superconductivity systems, and Visualization and Computer Vision. Since
the invention of the modern medical x-ray tube in 1913 by GE scientist
William Coolidge, we have been imagining and building new ways for
clinicians to see inside the human body, and this history of imaging
system breakthroughs has kept GE at the forefront of medical imaging.
Today, our scientists are exploring new applications for imaging in both
the security and industrial non-destructive testing spaces. At the same
time, we are charting new territory in the emerging field of molecular
imaging, where medical imaging meets genomics research. Our researchers
are finding new ways to see beyond structures in the body and image
cellular function. This work holds the potential to discover diagnostic
methods for identifying diseases before traditional symptoms appear - a
breakthrough that would shift the healthcare paradigm from "see and
treat" to "predict and prevent".
As a Computer Vision scientist, you will report directly to the Lab
Manager for the Visualization and Computer Vision Lab. This position is
eligible for the GE Global Research Employee Referral program.
------------------------------
From: "tim" <t...@scopicsoftware.com>
Subject: REFS : Vision software development
Scopic Software - Low cost vision software development ($15/hr) Scopic
Software provides low-cost vision software development. We are unique
in tackling these difficult applications in calibration, contouring,
segmentation, recognition and tracking at very affordable prices.
Contact mailto:t...@scopicsoftware.com for more information.
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