3D reconstruction based on a fast area-based stereo matching algorithm

被引：0

作者：

Gao, Hongwei ^{[1
,2
]}

Wu, Chengdong ^{[3
]}

Li, Bin ^{[1
]}

机构：

[1] Chinese Acad Sci, Robot Lab, Shenyang Inst Automat, Shenyang 110016, Peoples R China

[2] Grad Sch Chinese Acad Sci, Beijing 100039, Peoples R China

[3] Northeast Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China

来源：

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年

关键词：

parallel binocular vision; u(1) > u(2) constraint; image recitification; gray-level cross-correlation; 3D reconstruction;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

According to the parallel binocular vision system, a connotative constraint was proved by geometry theory in this paper. That is for any space point projected into two images, along the horizontal direction in image coordinate, there always exists u(1) > u(2). Based on this constraint, a fast stereo cross-correlation algorithm and correlative 3D reconstruction process were introduced. Epipolar rectification, 3D sparse and dense reconstruction results show the validity of the algorithm.

引用

页码：364 / 364

页数：1

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