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Proceedings Paper

Depth estimation from disparity of stereo images
Author(s): Sunanda Mitra; Song Lian Lim; Dah-Jye Lee; Brian S. Nutter
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Paper Abstract

The extraction of depth information from stereo image disparities using a 2-D power cepstrum technique as well as the usual correlation technique is presented. The edges of the input stereo images were enhanced by a Laplacian of Gaussian (LoG) operator modified for fast implementation1 . The depth of an object surface is calculated from a simple nonconvergent triangulation technique. The methodology presented in this paper allows a fast yet accurate implementation of computational stereo vision in a machine vision system. The basic concepts of the present paper have been further extended and a motion stereo model has been developed for reconstruction of three-dimensional (3-D) geometry of natural objects using time-sequenced images with capabilities of yielding dense depth maps

Paper Details

Date Published: 1 November 1990
PDF: 11 pages
Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); doi: 10.1117/12.23532
Show Author Affiliations
Sunanda Mitra, Texas Tech Univ. (United States)
Song Lian Lim, Texas Tech Univ. (United States)
Dah-Jye Lee, Texas Tech Univ. (United States)
Brian S. Nutter, Texas Tech Univ. (United States)

Published in SPIE Proceedings Vol. 1349:
Applications of Digital Image Processing XIII
Andrew G. Tescher, Editor(s)

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