Laser & Optoelectronics Progress, Volume. 58, Issue 8, 0810025(2021)
Algorithm for Eliminating Mismatched Points Based on Pearson Correlation Coefficient
Fig. 1. Relationship between size of Pearson correlation coefficient and law of scatter distribution
Fig. 3. Using the length feature and the angle feature together to detect mismatched points
Fig. 8. Results of contrast experiment 1. (a) Proposed algorithm; (b) MSAC algorithm; (c) PROSAC algorithm; (d) RANSAC algorithm
Fig. 9. Results of contrast experiment 2. (a) Proposed algorithm; (b) MSAC algorithm; (c) PROSAC algorithm; (d) RANSAC algorithm
Fig. 10. Results of contrast experiment 3. (a) Proposed algorithm; (b) MSAC algorithm; (c) PROSAC algorithm; (d) RANSAC algorithm
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Shuo Li, Yingdong Han, Shuang Wang, Kun Liu, Junfeng Jiang, Tiegen Liu. Algorithm for Eliminating Mismatched Points Based on Pearson Correlation Coefficient[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810025
Category: Image Processing
Received: Sep. 24, 2020
Accepted: Dec. 2, 2020
Published Online: Apr. 12, 2021
The Author Email: Han Yingdong (yingdong.han@tju.edu.cn)