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
Link To Document :
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