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An integrated computational model of three-dimensional vision

An integrated computational model of three-dimensional vision An integrated computational model of three-dimensional vision WILLIAM R. UTTAL, NING LIU and JAGGADESH KALKI Perception Laboratory, Department of Industrial and Management Systems Engineering, Arizona State University, Tempe, AZ 85287-5906, USA Received 11 April 1995; accepted 16 October 1995 Abstraet-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. 1. INTRODUCTION How does the visual system 'see' the three-dimensional space in which we exist`? This question, which is as yet incompletely answered, can be approached from a number of points of view. Psychophysical and neurophysiological studies have illuminated some http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Spatial Vision (continued as Seeing & Perceiving from 2010) Brill

An integrated computational model of three-dimensional vision

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Publisher
Brill
Copyright
© 1996 Koninklijke Brill NV, Leiden, The Netherlands
ISSN
0169-1015
eISSN
1568-5683
DOI
10.1163/156856896X00196
Publisher site
See Article on Publisher Site

Abstract

An integrated computational model of three-dimensional vision WILLIAM R. UTTAL, NING LIU and JAGGADESH KALKI Perception Laboratory, Department of Industrial and Management Systems Engineering, Arizona State University, Tempe, AZ 85287-5906, USA Received 11 April 1995; accepted 16 October 1995 Abstraet-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. 1. INTRODUCTION How does the visual system 'see' the three-dimensional space in which we exist`? This question, which is as yet incompletely answered, can be approached from a number of points of view. Psychophysical and neurophysiological studies have illuminated some

Journal

Spatial Vision (continued as Seeing & Perceiving from 2010)Brill

Published: Jan 1, 1996

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