ISSN:
1573-1405
Keywords:
stereo matching
;
depth discontinuities
;
dynamic programming
;
untextured scenes
;
image sampling
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
Abstract An algorithm to detect depth discontinuities from a stereo pair of images is presented. The algorithm matches individual pixels in corresponding scanline pairs, while allowing occluded pixels to remain unmatched, then propagates the information between scanlines by means of a fast postprocessor. The algorithm handles large untextured regions, uses a measure of pixel dissimilarity that is insensitive to image sampling, and prunes bad search nodes to increase the speed of dynamic programming. The computation is relatively fast, taking about 600 nanoseconds per pixel per disparity on a personal computer. Approximate disparity maps and precise depth discontinuities (along both horizontal and vertical boundaries) are shown for several stereo image pairs containing textured, untextured, fronto-parallel, and slanted objects in indoor and outdoor scenes.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1008160311296
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