3D Reconstruction Based on a Fast Area-based Stereo Matching Algorithm

Author

Gao, Hongwei ; Wu, Chengdong ; Li, Bin

Author_Institution

Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang

Volume

2

fYear

0

fDate

0-0 0

Firstpage

9542

Lastpage

9546

Abstract

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 U₁ > U₂. 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

Keywords

image matching; image reconstruction; sparse matrices; stereo image processing; 3D sparse reconstruction; area-based stereo matching algorithm; connotative constraint; correlative 3D reconstruction; dense reconstruction; epipolar rectification; geometry theory; gray-level cross-correlation; image coordinate; image rectification; parallel binocular vision system; space point projection; stereo cross-correlation algorithm; Constraint theory; Image reconstruction; Information science; Laboratories; Machine vision; Parallel robots; Robot kinematics; Robot vision systems; Robotics and automation; Stereo image processing; 3D reconstruction; Gray-level cross-correlation; Image rectification; Parallel binocular vision; u;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713851

Filename

1713851