Depth discontinuities by pixel-to-pixel stereo

被引：106

作者：

Birchfield, S ^{[1
]}

Tomasi, C ^{[1
]}

机构：

[1] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA

来源：

SIXTH INTERNATIONAL CONFERENCE ON COMPUTER VISION | 1998年

关键词：

D O I：

10.1109/ICCV.1998.710850

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 1.5 microseconds per pixel per disparity on a workstation. Approximate disparity maps and precise depth discontinuities (along both horizontal and vertical boundaries) are shown for five stereo images containing textured, untextured, fronto-parallel, and slanted objects.

引用

页码：1073 / 1080

页数：8