Call for participation
IEEE Computer Society Workshop on
Perceptual Organization in Computer Vision
June 26 (post CVPR '98) --- Santa Barbara, California
(http://marathon.csee.usf.edu/~sarkar/pocv.html)
PAPER SUBMISSION DEADLINE (changed): Feb 27, 1998
GENERAL CHAIRS:
Kim L. Boyer, The Ohio State University, kim@ee.eng.ohio-state.edu
Sudeep Sarkar, University of South Florida, sarkar@bigpine.csee.usf.edu
PROGRAM COMMITTEE:
Jacob Feldman, Rutgers University
Goesta Granlund, Linkoping University, Sweden
Radu Horaud, GRAVIR-IMAG & INRIA, France
Seth Hutchinson, Univ. of Illinois, Urbana-Champaign
David Jacobs, NEC Research Institute
Avi Kak, Purdue University
David Lowe, Univ. of British Columbia, Canada
Jitendra Malik, Univ. of California at Berkeley
Gerard Medioni, Univ. of Southern California
Thierry Pun, University of Geneva
Harpreet S. Sawhney, Sarnoff Corporation
Lance Williams, Univ. of New Mexico
PAPER SUBMISSION: Four copies of papers should be received no
later than Feb 27, 1998 by:
Sudeep Sarkar;
Computer Science and Engineering;
4202 E Fowler Ave., ENB 118;
University of South Florida;
Tampa, FL 33620, US;
(Email: sarkar@csee.usf.edu; Phone: 813-974-2113)
Each submission should have a cover page which includes the address,
phone number, fax number, and e-mail address of the corresponding
author. Papers are limited to 30 double-spaced pages (12 pt, 1 inch
margins).
WORKSHOP THEME: As recognized by the Gestalt school, the importance of
perceptual organization (PO) in human vision cannot be overestimated;
it imparts both efficiency and robustness to the visual process. Since
early demonstrations in the 1980s underscored its usefulness in object
recognition, the computer vision community has seen various
applications of PO in artificial vision systems such as in stereo
matching, model indexing, contour completion, figure-ground
segmentation, change detection, and more. Indeed, it can be argued
that a reasonable computational model of perception can be built
around the notion of repeated detection and classification of
organized structure. PO represents much of the often overlooked
intermediate level processing in computer vision systems. So, despite
these observations, the full potential of PO in artificial vision
systems is yet to be realized. We intend to bring together
researchers in perceptual organization in an attempt to crystallize
the concepts being explored. In addition to the presentation of new
ideas, this would provide a forum to debate the role(s) of perceptual
organization in artificial vision systems and thus help to outline
future research directions.
WORKSHOP FORMAT: The workshop will be divided into two parts. The
first will consist of high quality technical papers describing new or
ongoing work in perceptual organization. The second part will consist
of structured group discussions. The attendees will break up into
groups to consider the challenges in developing perceptual
organization methods in vision such as: Types of groups and grouping
hierarchies; Efficiency issues; The role of grouping in object
recognition, low and intermediate level vision, and motion and stereo;
Applications; and Performance evaluation, measures, and standards. The
organizing committee will set and disseminate the precise list of
questions well before the workshop to provide participants ample time
to prepare. We also intend to provide a set of standard images well
in advance of the workshop to allow participants to apply their
techniques to a common data set for comparative purposes.
WORKSHOP OUTPUT: This will be the first workshop focused on
perceptual organization in computer vision. We hope to ascertain the
present state of the art in perceptual organization and to shape new
research directions. The accepted papers will be disseminated among
the participants as an informal proceedings. A summary of the panel
discussion will be available online. We are investigating the
possibility of publishing a significant fraction of the best papers in
a special issue of an top archival journal.