Qualitative depth from stereo, with applications

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29 Scopus citations

Abstract

Obtaining exact depth from binocular disparities is difficult if camera calibration is required. We show that qualitative information can be obtained from stereo disparities with little computation and without prior knowledge (or computation) of camera parameters. First, we derive two expressions that order all matched points in the images by depth in two distinct ways using only image coordinates. Second, we develop an algorithm to compute axes of zero-curvature solely from disparities. -after Author

Original languageAmerican English
Pages (from-to)222-241
Number of pages20
JournalComputer Vision, Graphics, and Image Processing
Volume49
Issue number2
DOIs
StatePublished - 1990
Externally publishedYes

Bibliographical note

Funding Information:
I thank Tommy Poggio, Jim Little, Davi Geiger, and Walter Gillett for their help. The psychophysical aspect of this work gained from discussions with Terry Boult and Heinrich Bfilthoff. This research was done partly in the MIT AI Laboratory. It was supported by a Chaim Weizmann postdoctoral fellowship, a grant from the Sloan foundation, a grant from the ONR, DARPA, and the NSF.

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