Abstract
This article presents the details of and background for a computational model of three-dimensional vision. The basic idea embodied in this model is that a veridical approximation to a three-dimensional scene can best be produced by combining several operators that act on acquired two-dimensional images to reconstruct surface shape and distance. Stereo, shape from shading (SFS), and shape from structured light (SFSL) operators are combined to produce a reconstruction that is superior to any that might be produced by one alone. The advantages and disadvantages of each independent operator and the generic difficulties faced by members of this class of operators are discussed. Collectively, this package of combined algorithms represents a functional model of human spatial vision.
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