A Statistical Framework for Robust Fusion of Depth Information

Laurence T. Maloney; Michael S. Landy

doi:10.1117/12.970125

1 November 1989 A Statistical Framework for Robust Fusion of Depth Information

Laurence T. Maloney, Michael S. Landy

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970125
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

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.

Citation Download Citation

Laurence T. Maloney and Michael S. Landy "A Statistical Framework for Robust Fusion of Depth Information", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970125

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