Adaptive segmentation method based on similarity of laser point cloud topology

Shuai Wang; Huayan Sun; Huichao Guo; Tianjian Liu

doi:10.1117/12.2285286

24 October 2017 Adaptive segmentation method based on similarity of laser point cloud topology

Shuai Wang, Huayan Sun, Huichao Guo, Tianjian Liu

Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104623U (2017) https://doi.org/10.1117/12.2285286
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

Abstract

Laser point cloud segmentation is the basis of target splicing or recognition. In this paper, a point cloud segmentation method based on point topology is proposed. The relationship between neighboring points is obtained by the curvature relationship between points. The relationship within point cloud between each point is established, and then the point cloud is divided by cutting the graph. The feature of eigenvalue of the Laplacian matrix realizes the adaptive segmentation. Three different kind of point cloud are tested with the algorithm in this paper and the result show that the algorithm has good performance on point cloud cutting of obvious characteristics and robust to noise.

Citation Download Citation

Shuai Wang, Huayan Sun, Huichao Guo, and Tianjian Liu "Adaptive segmentation method based on similarity of laser point cloud topology", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623U (24 October 2017); https://doi.org/10.1117/12.2285286

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available