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 implementation. 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.
Original language | English |
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Pages (from-to) | 216-226 |
Number of pages | 11 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 1349 |
State | Published - 1990 |
Event | Applications of Digital Image Processing XIII - San Diego, CA, USA Duration: Jul 10 1990 → Jul 13 1990 |