Jinru LI, Jin WANG, Songtao GUO, Hongyan SUO. Point cloud matching algorithm based on adaptive local neighborhood conditions[J]. Optics and Precision Engineering, 2024, 32(10): 1606
- Optics and Precision Engineering
- Vol. 32, Issue 10, 1606 (2024)
Fig. 1. Feature points extraction process
Fig. 2. Neighborhood of point pi
Fig. 3. Distribution of normal vectors in different regions
Fig. 4. Registration process
Fig. 5. Rang of feature point pi and its neighborhood points estimated
Fig. 6. uvw Local coordinate system
Fig. 7. Influence of different thresholds on registration
Fig. 8. Influence of different extraction methods on registration
Fig. 9. Registration effects of Bunny point cloud
Fig. 10. Registration effects of Dragon point cloud
Fig. 11. Point cloud date of teaching building J1
Fig. 12. Number of extracted feature points and registration error under different threshold conditions
Fig. 13. Proposed algorithm registration results of school gate（Blue is the point cloud to be configured； Red is the target point cloud；）
Fig. 14. Different algorithm registration results of school gate
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Table 1. Comparison of registration results of different algorithms for Bunny point cloud
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Table 2. Comparison of registration results of different algorithms for Dragon point cloud
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Table 3. Comparison of different algorithmic alignment assessment metrics
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