DocumentCode
497022
Title
A 3D Curve Grouping Methods and Its Application
Author
Li, Baoshun ; Hong, Lo Vui ; Cao, Qixin ; Zhang, Lei ; Lee, Jay
Author_Institution
Sch. of Mech. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Volume
2
fYear
2009
fDate
4-5 July 2009
Firstpage
676
Lastpage
679
Abstract
This paper presents new improvements to point cloud segmentation on curve grouping techniques. The proposed method is based on the similarity conception. The developed approach groups the curves from the same objects into the same region well. The algorithm is simple and easy implemented in complex real scenes. The algorithm was performed in a real application and the results proved the proposed algorithm is feasible and practical.
Keywords
computational geometry; computer graphics; curve fitting; edge detection; 3D curve grouping method; edge detection; point cloud segmentation process; Clouds; Curve fitting; Feature extraction; Image edge detection; Image segmentation; Intelligent systems; Layout; Mechanical engineering; Paper technology; Surface fitting; curve grouping; edge-based; pneumatic caisson; point cloud; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3682-8
Type
conf
DOI
10.1109/ESIAT.2009.183
Filename
5199983
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