Computer vision: reconstructing 3-D model from 2-D images

Zheng Tan; Long Gong

doi:10.1117/12.135090

1 March 1992 Computer vision: reconstructing 3-D model from 2-D images

Zheng Tan, Long Gong

Proceedings Volume 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods; (1992) https://doi.org/10.1117/12.135090
Event: Robotics '91, 1991, Boston, MA, United States

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.

Citation Download Citation

Zheng Tan and Long Gong "Computer vision: reconstructing 3-D model from 2-D images", Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); https://doi.org/10.1117/12.135090

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