Laser & Optoelectronics Progress, Volume. 60, Issue 16, 1628005(2023)
Point-Cloud Data Reduction Based on Neighborhood-Point Position Feature
Fig. 5. Point cloud of point P and points included in Pup (green) and Pdown (blue)
Fig. 8. Results of skull point cloud reduction. (a) Original model; (b) proposed algorithm; (c) curvature sampling; (d) uniform grid method; (e) random sampling method
Fig. 9. Detail display of head area and tooth area. (a) Original model; (b) proposed algorithm; (c) curvature sampling; (d) uniform grid method; (e) random sampling method
Fig. 10. Results of bunny point cloud simplification. (a) Original model; (b) proposed algorithm; (c) curvature sampling; (d) uniform grid method; (e) random sampling method
Fig. 11. Child point cloud reduction results. (a) Original model; (b) proposed algorithm; (c) curvature sampling; (d) uniform grid method; (e) random sampling method
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Zihui Zhang, Yunlan Guan. Point-Cloud Data Reduction Based on Neighborhood-Point Position Feature[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1628005
Category: Remote Sensing and Sensors
Received: Jul. 20, 2022
Accepted: Oct. 19, 2022
Published Online: Aug. 18, 2023
The Author Email: Yunlan Guan (ylguan@ecut.edu.cn)