Seminar: A Connectionst Framework for visual recognition

[Lorien Y. Pratt]

I saw this posted locally, thought you might like to attend.  Don't
forget Josh Alspector's talk this Friday (10/21) on his Boltzmann chip!

Rutgers University 
CAIP
(Center for Computer Aids for Industiral Productivity. (CAIP)
Seminar:
A Connectionist Framework for Visual Recognition

Ruud Bolle
Exploratory Computer Vision Group
IBM Thomas J. Watson Research Center

Abstract

This talk will focus on the organization and implementation of a vision system
to recognize 3D objects.  The visual world being modeled is assumed to consist
of objects that can be represented by planar patches, patches of quadrics of
revolution, and the intersection curves of those quadric surfaces.  A
significant portion of man-made objects can be represented using such
prmitives.

One of the contributions of this vision system is that fundamentally different
feature types, like survface and curve descriptions, and simultaneously
extracted and combined to index into a database of objects.  The input to the
system is a depth map of a scene comprising of one or more objects.  From the
depth map, surface parameters and surface intersection/object limb parameters
are extracted.  Parameter extraction is modeled as a set of layered and
concurrent parameter space transforms.  Any one transform computes only a
partial geometric description that forms the input to a next transform.  The
final transform is a mapping into an object database, which can be viewed as
the highest-level of confidence for geomeetric descriptoins and 3D objects
within the parameter spaces.  The approach is motivated by connectionist model
of visual recognition systems.

Date:  Friday, November 4, 1988
Time:  3:00 PM
Place: Conference room 139, CAIP center, Busch Campus

For information, call (201) 932-3443