Depth estimation from disparity of stereo images

Sunanda Mitra; Song Lian Lim; Dah-Jye Lee; Brian S. Nutter

doi:10.1117/12.23532

1 November 1990 Depth estimation from disparity of stereo images

Sunanda Mitra, Song Lian Lim, Dah-Jye Lee, Brian S. Nutter

Proceedings Volume 1349, Applications of Digital Image Processing XIII; (1990) https://doi.org/10.1117/12.23532
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

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

Citation Download Citation

Sunanda Mitra, Song Lian Lim, Dah-Jye Lee, and Brian S. Nutter "Depth estimation from disparity of stereo images", Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); https://doi.org/10.1117/12.23532

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