First IEEE Computer Society Workshop on
Perceptual Organization in Computer Vision
June 26 (post CVPR '98)
FINAL PROGRAM &
Santa Barbara, California
Kim L. Boyer, The Ohio
State University (General Chair)
Sudeep Sarkar , University of South Florida (General
Jacob Feldman ,
Goesta Granlund, Linkoping University, Sweden.
, GRAVIR-IMAG & INRIA, France.
Seth Hutchinson , University
of Illinois, Urbana-Champaign.
David Jacobs ,
NEC Research Institute.
Avi Kak , Purdue University.
David Lowe, University
of British Columbia, Canada
Jitendra Malik, University
of California at Berkeley.
University of Southern California.
Thierry Pun , University of Geneva.
Harpreet S. Sawhney, Sarnoff Corporation.
Lance Williams, University of
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
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.
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. The output
of this workshop is a special issue on Perceptual Organization in Computer
in the Computer Vision and Image Understanding Journal (Oct 1999 issue).
modified: Mon Jun 1 12:58:49 EDT 1998