Qualitative depth from stereo, with applications

D. Weinshall

doi:10.1016/0734-189X(90)90138-L

Qualitative depth from stereo, with applications

D. Weinshall

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	222-241
Number of pages	20
Journal	Computer Vision, Graphics, and Image Processing
Volume	49
Issue number	2
DOIs	https://doi.org/10.1016/0734-189X(90)90138-L
State	Published - 1990
Externally published	Yes

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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10.1016/0734-189X(90)90138-L

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title = "Qualitative depth from stereo, with applications",

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",

author = "D. Weinshall",

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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PY - 1990

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N2 - 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

AB - 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

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Qualitative depth from stereo, with applications

Abstract

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