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
- Laser & Optoelectronics Progress
- Vol. 58, Issue 8, 0810025 (2021)
Fig. 1. Relationship between size of Pearson correlation coefficient and law of scatter distribution
Fig. 2. Using the length feature to detect mismatched points
Fig. 3. Using the length feature and the angle feature together to detect mismatched points
Fig. 4. Flowchart of rough eliminating stage
Fig. 5. Scatter diagram of confidence and selection of inflection point
Fig. 6. Method for selecting a threshold value of rough eliminating stage
Fig. 7. Flowchart of refined eliminating stage
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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Table 1. Accuracy of different algorithms for eliminating mismatched points
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Table 2. Speed of different algorithms for eliminating mismatched points unit: ms
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