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Proceedings Paper

A method for image matching based on epipolar geometry
Author(s): Hongyu Guo; Yan Han; Jian Wang
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Paper Abstract

2D image matching is a precondition for 3D object reconstruction, and plays an important role in machine vision. The key of image matching is that establishes the correspondence between images. The fundamental matrix encapsulates all the information between two images. Hence, precise estimation of the fundamental matrix is very important. Due to noise disturbing and correspondence outliers, it is hard to estimate the fundamental matrix. Aiming at this problem, the paper puts forward a new eight-point algorithm which integrates the normalization and LMS algorithm ( least median square) together, solving error estimation result, because of wrong matching points. Through the method above, the result of experiment indicates that the method has higher matching precision. It can be used for multi objects image matching.

Paper Details

Date Published: 5 March 2008
PDF: 7 pages
Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66231I (5 March 2008); doi: 10.1117/12.791515
Show Author Affiliations
Hongyu Guo, North Univ. of China (China)
Yan Han, North Univ. of China (China)
Jian Wang, North Univ. of China (China)


Published in SPIE Proceedings Vol. 6623:
International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing
Liwei Zhou, Editor(s)

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