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Proceedings Paper

3D reconstruction based on a complex constrain matching algorithm
Author(s): Qiongyan Li; Feng Ma
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Paper Abstract

The precision of stereo matching directly influence the result of 3D reconstruction from images. a matching method is proposed to increase matching accuracy. Two pictures are taken for an object in different angle using a digital camera, then the feature points are extracted from the two images. After that, the initial matching is firstly done for the image feature points, then accurate matching is performed by use of affine transformation constrain, epipolar geometry constrain and gray scale relativity constrain comprehensively. Finally the accurate matching points are utilized to reconstruct the 3D points, which are filtered, smoothed, triangulated and textured to get a true 3D model Experimental results show that this algorithm converges fast and can increase matching accuracy effectively.

Paper Details

Date Published: 19 August 2010
PDF: 6 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782012 (19 August 2010); doi: 10.1117/12.867619
Show Author Affiliations
Qiongyan Li, Beijing Forestry Univ. (China)
Feng Ma, Beijing Forestry Univ. (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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