IEEE
Workshop on
In association with the IEEE Conference on Computer Vision and Pattern Recognition
Washington,
DC, USA
June
28, 2004
Contacts:
hoogs@crd.ge.com
medioni@iris.usc.edu
NEW:
The program is available here.
A
workshop overview is available here.
Workshop Information
Perceptual Organization (PO) is a rapidly
growing area of computer vision research.
As the link between low-level segmentation and high-level algorithms, PO
has the potential to enable figure-ground separation, object recognition, scene
reconstruction, change detection, spatio-temporal grouping, and many other
areas. Recent progress in PO has
encouraged more participation from experts in related areas such as texture,
motion analysis and recognition.
This workshop will bring together researchers
in PO and related areas to share novel ideas, future directions of PO, and
current work. Following up on the successful POCV workshop at ICCV 1999, which
produced a book describing current and future directions of PO, the theme for
2004 will be "the next generation of PO." Participants will present their ideas and opinions on where
the field is going, what people should be working on, what the main challenges
are, and what results we can expect in the next few years. One important theme is the role of
perceptual organization and segmentation in patch-based object recognition
methods, which have shown remarkable progress in the past few years without the
use of traditional perceptual organization.
To encourage this, submitted papers do not
need to describe fully developed algorithms, methods, or results as would
normally be required for acceptance at a conference. Supporting results would be useful, of course; however, authors
are urged to take intellectual risks and argue for ideas that do not yet have
experimental support.
The workshop format will support the
speculative theme by allowing significant time for discussion and debate,
including panel discussions.
Ideally, the workshop will provide a forum for people to collectively
think about and discuss the next big leaps in the field. Invited speakers will
provide perspectives from fields related to PO, such as psychology and
cognitive science.
Papers were solicited in all areas of
perceptual organization, including but not limited to:
·
image segmentation
·
feature grouping
·
texture segmentation
·
spatio-temporal/motion
segmentation
·
figure-ground
discrimination
·
unification of
segmentation, detection and recognition
·
PO for object
recognition
·
contour completion
·
psychophysically-motivated
methods
·
medical image analysis
·
learning in PO
The proceedings will be published
electronically by IEEE in the online IEEE publications database.
Paper
Submission
The paper submission deadline is now after
CVPR decisions. Since the workshop will emphasize
papers of a different nature than those in CVPR, accepted CVPR authors are
encouraged to submit a related, but more far-reaching, visionary paper. This policy is intended to encourage
participation from authors whose papers are accepted in CVPR as well as those
that are not.
Reviewing will be blind circular. By submitting a paper, each author
agrees to review at least 2 other submissions. This procedure has produced quality, useful reviews in
previous POCV workshops. As
reviewers, authors must comply with the reviewing schedule below. In addition, each paper will be
reviewed by the program committee.
Given the exploratory nature of the workshop, reviews will emphasize the
novelty of the ideas and clarity of presentation, and are not expected to be
comprehensive (or time-consuming).
Organization
General Chairs
Anthony
Hoogs, GE Research
Gerard
Medioni, University of
Southern California
Program Committee
Kim Boyer, Ohio State
James Elder, York University
David Jacobs, University of Maryland
Ben Kimia, Brown University
Michael
Lindenbaum, Technion IIT
B.S.
Manjunath, UC Santa Barbara
David Martin, Boston College
Peter Meer, Rutgers University
Sudeep Sarkar,
University of South Florida
Eric Saund, Palo Alto Research Center
Jeffrey Mark
Siskind, Purdue University
Shimon
Ullman, Weizmann Institute
S.C.
Zhu, UCLA
http://www.research.ge.com/vision/pocv2004.html