TY - JOUR
T1 - Cepstral Filtering on a Columnar Image Architecture
T2 - A Fast Algorithm for Binocular Stereo Segmentation
AU - Yeshurun, Yehezkel
AU - Schwartz, Eric L.
N1 - Funding Information:
Manuscript received April I. 1987; revised January 8. 1989. This work was supported by the Air Force Office of Scientific Research under Grant 85-0341 and b! the Nathan S. Kline Research Institute.
PY - 1989/7
Y1 - 1989/7
N2 - Many primate visual cortex architectures (including the human) 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. In the present paper we show 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. We suggest that this provides a fast algorithm for stereo segmentation, in a machine vision context. In a biological context, this may provide a computational rationale for the existence of columnar systems, both with regard to ocular mixing, and to other visual modalities which have a columnar architecture.
AB - Many primate visual cortex architectures (including the human) 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. In the present paper we show 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. We suggest that this provides a fast algorithm for stereo segmentation, in a machine vision context. In a biological context, this may provide a computational rationale for the existence of columnar systems, both with regard to ocular mixing, and to other visual modalities which have a columnar architecture.
UR - http://www.scopus.com/inward/record.url?scp=0024699073&partnerID=8YFLogxK
U2 - 10.1109/34.192471
DO - 10.1109/34.192471
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AN - SCOPUS:0024699073
SN - 0162-8828
VL - 11
SP - 759
EP - 767
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
JF - IEEE Transactions on Pattern Analysis and Machine Intelligence
IS - 7
ER -