Research on Eliminating Mismatched Feature Points: A Review

Author:

Chen Dunhua,Peng Jiansheng,Yang Qing

Publisher

Springer Nature Singapore

Reference28 articles.

1. Tan, F., Mu, P., Ma, Z.X.: A multi-target tracking algorithm based on YOLOv3 detection and feature point matching. J. Metrol. 42(02), 157–162 (2021)

2. Jingjing, X., Dongbao, Z., Yue, D., Lianhai, C., Xiangrong, G.: Multi-source homonymous residential ground target identification and its homonymous feature point matching method. Geography Geograph. Inf. Sci. 38(05), 9–15 (2022)

3. Jiahua, H., Chong, S., Jun, T., Jun, L.: A fast image stitching method based on improved ORB-GMS-SPHP algorithm. Navigat. Position. Timing 10(02), 108–116 (2023)

4. Liu, C., Dang, S., Chen, L.: An improved feature matching and dense map building algorithm based on ORB-SLAM3. Comput. Appl. Res. 1–8 (2023)

5. Lowe, D.G.: Distinctive image features from scale-invariant key points. Int. J. Comput. Vis. 60(2), 91–110 (2004)

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