Xinchun Li, Zhenyu Yan, Sen Lin. Point Cloud Registration Based on Weighting Information of Neighborhood Surface Deformation[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141102
- Laser & Optoelectronics Progress
- Vol. 57, Issue 14, 141102 (2020)
Fig. 1. Number of different closest points in pi neighborhood. (a) Number of closest points is 8; (b) number of closest points is 7
Fig. 2. Schematic of specific process of proposed registration algorithm
Fig. 3. Curves of threshold effect on initial registration results. (a) Bunny model; (b) Dragon model
Fig. 4. Registration results of Bunny model. (a) TICP; (b) NV-TICP; (c) ISS-TICP; (d) MR-TICP; (e) EISCS-DTICP
Fig. 5. Registration results of Dragon model. (a) TICP; (b) NV-TICP; (c) ISS-TICP; (d) MR-TICP; (e) EISCS-DTICP
Fig. 6. Registration results of Bottle model. (a) TICP; (b) NV-TICP; (c) ISS-TICP; (d) MR-TICP; (e) EISCS-DTICP
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Table 1. Accurate registration results of Bunny model under different noise conditions
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Table 2. Accurate registration results of Dragon model under different data loss situations
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Table 3. Accurate registration results of Bottle model under different environments
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