Acta Optica Sinica, Volume. 42, Issue 8, 0810001(2022)
High-Accuracy Point Cloud Matching Algorithm for Weak-Texture Surface Based on Multi-Modal Data Cooperation
Fig. 2. Schematic diagram of compound sensor system. (a) Upward view; (b) front view
Fig. 4. Relationship of arbitrary normal vector with its k nearest normal vectors
Fig. 5. Relationship between positions of arbitrary point and center of gravity in neighborhood
Fig. 6. Schematic diagram of weak-texture surface. (a) Three-dimensional graph of surface; (b) weak-texture graph
Fig. 7. Registration results of different algorithms. (a) Unregistered image; (b) ground-truth image; (c) ICP algorithm; (d) IRLS-ICP algorithm; (e) NICP algorithm; (f) proposed algorithm
Fig. 8. Comparison of reconstruction indicators. (a) Comparison of RMSE; (b) comparison of PV value
Fig. 12. Initial positions of point clouds. (a) Initial position of two adjacent point clouds; (b) initial position of overlapping area of point clouds
Fig. 13. Registration results for overlapping areas of point clouds. (a) ICP algorithm; (b) IRLS-ICP algorithm; (c) NICP algorithm; (d) proposed algorithm
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Qiming Li, Jieji Ren, Xiaohan Pei, Mingjun Ren, Limin Zhu, Xinquan Zhang. High-Accuracy Point Cloud Matching Algorithm for Weak-Texture Surface Based on Multi-Modal Data Cooperation[J]. Acta Optica Sinica, 2022, 42(8): 0810001
Category: Image Processing
Received: Sep. 30, 2021
Accepted: Nov. 15, 2021
Published Online: Mar. 30, 2022
The Author Email: Ren Mingjun (renmj@sjtu.edu.cn)