Multi-scale stereo matching

Michael S. Lew, Kam W. Wong, Thomas S. Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Most work in pyramidal or hierarchical stereo matching has primarily used the direct coarse-to-fine or hill climbing search method. However, there are two significant problems in using the hill climbing method. First, the match at the initial scale level can be wrong. Second, the binary decision at any of the finer scale levels may be wrong. Our method, which is essentially a best-first or cost minimization search method, alleviates both of these problems. The results of our method applied to real world image pairs are presented as well as a direct comparision in terms of percentage of correct matches to the traditional hill climbing method.

Original languageEnglish (US)
Title of host publicationConference A
Subtitle of host publicationComputer Vision and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages620-623
Number of pages4
ISBN (Print)081862910X
DOIs
StatePublished - 1992
Event11th IAPR International Conference on Pattern Recognition, IAPR 1992 - The Hague, Netherlands
Duration: Aug 30 1992Sep 3 1992

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume1
ISSN (Print)1051-4651

Other

Other11th IAPR International Conference on Pattern Recognition, IAPR 1992
Country/TerritoryNetherlands
CityThe Hague
Period8/30/929/3/92

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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