Share Email Print

Proceedings Paper

Depth estimation from disparity of stereo images
Author(s): Sunanda Mitra; Song Lian Lim; Dah-Jye Lee; Brian S. Nutter
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top