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Proceedings Paper

A Statistical Framework for Robust Fusion of Depth Information
Author(s): Laurence T. Maloney; Michael S. Landy
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Paper Abstract

We describe a simple statistical framework intended as a model of how depth estimates derived from consistent depth cues are combined in biological vision. We assume that the rule of combination is linear, and that the weights assigned to estimates in the linear combination are variable. These weight values corresponding to different depth cues are determined by ancillary measures, information concerning the likely validity of different depth cues in a particular scene. The parameters of the framework may be estimated psychophysically by procedures described. The conditions under which the framework may be regarded as normative are discussed.

Paper Details

Date Published: 1 November 1989
PDF: 10 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970125
Show Author Affiliations
Laurence T. Maloney, New York University (United States)
Michael S. Landy, New York University (United States)


Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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