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Proceedings Paper

Image registration based on feature point sets
Author(s): Quanbing Zhang; Bin Luo; Sui Wei; Shangjun Yang
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Paper Abstract

This work investigates the image registration from feature point sets. Image registration is a fundamental object recognition method in computer vision and aims to find best matches between two or more point sets when tehre are geometric distortions, point measurement errors and contamination present. This paper concentrates on image registration from feature point sets whose transformation is affine or projective and gives closed form solutions of the transformation parameters, respectively. Furthermore, the Random Sample Consensus algorithm is applied to the matching problem in order to yield the transformation, as well as a set of points in correspondence from images directly. The experimental results show that the methods are accurate, stable and are affected slightly by noise.

Paper Details

Date Published: 25 September 2003
PDF: 6 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539975
Show Author Affiliations
Quanbing Zhang, Anhui Univ. (China)
Bin Luo, Anhui Univ. (China)
Sui Wei, Anhui Univ. (China)
Shangjun Yang, Anhui Univ. (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition

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