TY - GEN
T1 - A feature detection and matching algorithm based on Harris algorithm
AU - Feng, Jiangtao
AU - Ai, Changjun
AU - An, Zhe
AU - Zhou, Zhiqiang
AU - Shi, Yongsheng
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Harris corner detection algorithm can detect stable image feature points in the image. But there are some problems such as large amount of computation, low positioning accuracy, only detecting corner positions without feature descriptor, which limit the application of the algorithm. In order to solve these problems, a new image feature extraction algorithm is proposed in this paper, which firstly screens the image twice, then the Harris corner detection algorithm is used to detect the corner position, and the corner position is optimized to sub-pixel level by iterative algorithm. Finally, the rotation invariant fast extraction (RIFD) descriptor is used to represent the feature point information. The experimental results show that the proposed algorithm effectively overcomes the shortcomings of the Harris algorithm, it can quickly and accurately extract stable features in the image. It has great application prospects in many image matching systems.
AB - Harris corner detection algorithm can detect stable image feature points in the image. But there are some problems such as large amount of computation, low positioning accuracy, only detecting corner positions without feature descriptor, which limit the application of the algorithm. In order to solve these problems, a new image feature extraction algorithm is proposed in this paper, which firstly screens the image twice, then the Harris corner detection algorithm is used to detect the corner position, and the corner position is optimized to sub-pixel level by iterative algorithm. Finally, the rotation invariant fast extraction (RIFD) descriptor is used to represent the feature point information. The experimental results show that the proposed algorithm effectively overcomes the shortcomings of the Harris algorithm, it can quickly and accurately extract stable features in the image. It has great application prospects in many image matching systems.
KW - Feature descriptor
KW - Harris corner detection
KW - Image feature
KW - Image matching
UR - http://www.scopus.com/inward/record.url?scp=85071929822&partnerID=8YFLogxK
U2 - 10.1109/CISCE.2019.00144
DO - 10.1109/CISCE.2019.00144
M3 - Conference contribution
AN - SCOPUS:85071929822
T3 - Proceedings - 2019 International Conference on Communications, Information System, and Computer Engineering, CISCE 2019
SP - 616
EP - 621
BT - Proceedings - 2019 International Conference on Communications, Information System, and Computer Engineering, CISCE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Communications, Information System, and Computer Engineering, CISCE 2019
Y2 - 5 July 2019 through 7 July 2019
ER -