A multi-sensor image registration method based on harris corner matching

Authors:
Mingyue Ding;Lingling Li;Chengping Zhou;Chao Cai
Affiliations:
Institute for Pattern Recognition and Artificial Intelligence, “Image Processing and Intelligent Control” Key Laboratory of Education Ministry, Huazhong University of Science and Techn ...;Institute for Pattern Recognition and Artificial Intelligence, “Image Processing and Intelligent Control” Key Laboratory of Education Ministry, Huazhong University of Science and Techn ...;Institute for Pattern Recognition and Artificial Intelligence, “Image Processing and Intelligent Control” Key Laboratory of Education Ministry, Huazhong University of Science and Techn ...;Institute for Pattern Recognition and Artificial Intelligence, “Image Processing and Intelligent Control” Key Laboratory of Education Ministry, Huazhong University of Science and Techn ...
Venue:
VSMM'06 Proceedings of the 12th international conference on Interactive Technologies and Sociotechnical Systems
Year:
2006

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Abstract

In this paper, a registration method based on Harris corners is proposed. It is composed of three steps. First, corner extraction and matching. We use the gray level information around the corner to setup the correspondences, then use the affine invariant of Mahalannobis distance to remove the mis-matched corner points. From this correspondence of the corner points, the affine matrix between two different images can be determined. Finally, map all points in the sensed image to the reference using the estimated transformation matrix and assign the corresponding gray level by re-sampling the image in the sensed image. Experiments with different types of multi-sensor images demonstrated the feasibility of our method.