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Proceedings Paper

Computer vision: reconstructing 3-D model from 2-D images
Author(s): Zheng Tan; Long Gong
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Paper Abstract

A comprehensive algorithm for the reconstruction of a three-dimensional model from a pair of two-dimensional images is presented in this paper. The dynamic programming matching based on the 'bridging method' are guided by the results of feature-based matching. In the process of feature-based matching, the mathematic morphology is introduced to describe the feature extracted out. In those areas without distinct feature points, area-based correlation is applied to get the fine location of the corresponding points. At last, the constraints in two directions are introduced to check out the mismatched points.

Paper Details

Date Published: 1 March 1992
PDF: 6 pages
Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); doi: 10.1117/12.135090
Show Author Affiliations
Zheng Tan, Xian Jiaotong Univ. (China)
Long Gong, Xian Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 1608:
Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods
David P. Casasent, Editor(s)

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