University of California, Berkeley 2 credits Electrical Engineering and Computer Sciences
The course will present basic material on inferring 3d from visual information. This will include disparity, motion, texture, shading, and occlusion. Introduction to the psychophysics and mathematical analysis underlying the inference of 3d scene properties from 2d retinal images. Psychophysics of various cues to 3d shape and spatial layout such as texture, contour, shading, stereopsis, and structure from motion. Geometrical analysis of these cues. Probabilitic theory for optimal combination of cues and estimation of scene properties. Relevant physiology of V1, V2, V4, and higher areas.
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