Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1828005(2022)
Extraction and Simplification of three-dimensional Point Cloud Topological Features Using Piecewise Linear Morse Theory
Fig. 3. Homomorphic shrinkage algorithm. (a) Before simplification; (b) after simplification
Fig. 8. Piecewise linear falling Morse complex extracted by the proposed algorithm. (a) kerolamp model; (b) helix model
Fig. 9. Piecewise linear falling Morse complex extracted by the method in Ref.[24]. (a) kerolamp model; (b) helix model
Fig. 10. Feature extraction results for kerolamp model in different thresholds. (a) λ=0.8,XT =0.23; (b) λ=0.8,XT =0.3; (c) λ=0.8,XT =0.32
Fig. 11. Feature extraction results for helix model in different thresholds. (a) λ=0.7,XT
Fig. 12. Feature extraction results for model 1 in different noise levels. (a) 0 dB; (b) 10 dB; (c) 20 dB; (d) 50 dB
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Yongyu Wei, Chunkang Zhang, Xiaomei Shao, Yutian Ji, Yao Yin. Extraction and Simplification of three-dimensional Point Cloud Topological Features Using Piecewise Linear Morse Theory[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1828005
Category: Remote Sensing and Sensors
Received: Jun. 30, 2021
Accepted: Aug. 25, 2021
Published Online: Aug. 31, 2022
The Author Email: Chunkang Zhang (chkang_chd@163.com)