Title :
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
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;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713851
