Cepstral filtering on a columnar image architecture: a fastalgorithm for binocular stereo segmentation
Yeshurun, Y.
Schwartz, E.L.
Dept. of Psychiatry, New York Univ. Med. Center, NY;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jul 1989
Volume: 11,
Issue: 7
On page(s): 759-767
ISSN: 0162-8828
References Cited: 27
CODEN: ITPIDJ
INSPEC Accession Number: 3466271
Digital Object Identifier: 10.1109/34.192471
Current Version Published: 2002-08-06
Abstract
Many primate visual cortex architectures have a prominent feature
responsible for the mixing of left and right eye visual data: ocular
dominance columns represent thin (about 5-10 minutes of arc) strips of
alternating left and right eye input to the brain. It is shown that such
an architecture, when operated upon with a cepstral filter, provides a
strong cue for binocular stereopsis. Specifically, the vector of
binocular disparity may be easily identified in the output of the
(columnar based) cepstral filter. This algorithm is illustrated with
application to a random dot stereogram and to natural images. The
authors suggest that this provides a fast algorithm for stereo
segmentation, in a machine vision context. In a biological context, it
may provide a computational rationale for the existence of columnar
systems with regard to both ocular mixing and other visual modalities
that have a columnar architecture
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