Researching | Feature Line Extraction from a Point Cloud Based on Region Clustering Segmentation

Acta Optica Sinica, Volume. 38, Issue 11, 1110001(2018)

Feature Line Extraction from a Point Cloud Based on Region Clustering Segmentation

Xiaohui Wang^1,2、*, Lushen Wu^1、*, Huawei Chen¹, Yun Hu¹, and Yaying Shi¹

Author Affiliations

¹ School of Mechatronic Engineering, Nanchang University, Nanchang, Jiangxi 330031, China

² School of Architectural and Mechanical Engineering, Chifeng University, Chifeng, Inner Mongolia 0 24000, China

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CLP Journals

[1] Jiabei Hu, Zhe Liu, Pengfei Zhang, Guohua Geng, Yuhe Zhang. Feature Extraction of Scattered Point Clouds Based on Discrete Morse Theory[J]. Acta Optica Sinica, 2019, 39(6): 0615002

[2] ZHANG Chun-kang, LI Hong-mei, ZHANG Xia. Topological feature recognition and blend feature protection for non-duality point clouds[J]. Optics and Precision Engineering, 2020, 28(10): 2301

[3] Jiabei Hu, Zhe Liu, Pengfei Zhang, Guohua Geng, Yuhe Zhang. Feature Extraction of Scattered Point Clouds Based on Discrete Morse Theory[J]. Acta Optica Sinica, 2019, 39(6): 0615002

[4] ZHANG Chun-kang, LI Hong-mei, ZHANG Xia. Topological feature recognition and blend feature protection for non-duality point clouds[J]. Optics and Precision Engineering, 2020, 28(10): 2301

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Xiaohui Wang, Lushen Wu, Huawei Chen, Yun Hu, Yaying Shi. Feature Line Extraction from a Point Cloud Based on Region Clustering Segmentation[J]. Acta Optica Sinica, 2018, 38(11): 1110001

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Paper Information

Category: Image Processing

Received: Mar. 22, 2018

Accepted: May. 28, 2018

Published Online: May. 9, 2019

The Author Email:

DOI:10.3788/AOS201838.1110001

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology