An Improved Harris-SIFT Algorithm for Image Matching

Yu Cao; Bo Pang; Xin Liu; Yan-li Shi

Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17–18, 2017, Proceedings

Research Article

An Improved Harris-SIFT Algorithm for Image Matching

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@INPROCEEDINGS{10.1007/978-3-319-73317-3_8,
    author={Yu Cao and Bo Pang and Xin Liu and Yan-li Shi},
    title={An Improved Harris-SIFT Algorithm for Image Matching},
    proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings},
    proceedings_a={ADHIP},
    year={2018},
    month={2},
    keywords={Improved Harris-SIFT algorithm Corner detection Homocentric square window Image matching},
    doi={10.1007/978-3-319-73317-3_8}
}

Yu Cao
Bo Pang
Xin Liu
Yan-li Shi
Year: 2018
An Improved Harris-SIFT Algorithm for Image Matching
ADHIP
Springer
DOI: 10.1007/978-3-319-73317-3_8

Yu Cao¹^,*, Bo Pang¹, Xin Liu¹, Yan-li Shi¹

1: School of Harbin University of Science and Technology

*Contact email: 759734958@qq.com

Abstract

In view of the feature points extracted by the SIFT algorithm can not fully represent the structure of the object and the computational complexity is high, an improved Harris-SIFT image matching algorithm is proposed. Firstly, the feature points of the image are extracted by Harris corner detection operator. Then, the feature points are described by using the 28 dimension increasing homocentric square window. Euclidean distance is used as the similarity measure function in the matching process. Finally, simulation results show the validity of the improved algorithm, providing a new thought for the research into the image matching.

Keywords: Improved Harris-SIFT algorithm Corner detection Homocentric square window Image matching

Published: 2018-02-09
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-73317-3_8