DocumentCode :
3111197
Title :
Point cloud segmentation using gradient vector flow snake
Author :
Liu, Shoubin ; Ye, Yingsong
Author_Institution :
Shenzhen Grad. Sch., Harbin Inst. of Technol., Harbin, China
fYear :
2011
fDate :
26-28 March 2011
Firstpage :
1114
Lastpage :
1118
Abstract :
This paper presents a new method for extracting point cloud of useful main surface from 3D point cloud of an existing product or part. The 3D point cloud is sliced into 2D point cloud at different slices. For each slice, gradient vector flow (GVF) is generated. An active contour or snake is applied to capture the point cloud belonging to main surface. Points belonging to mini-structures or mini-features are repaired. Experimental results demonstrate the robustness and the effectiveness of the proposed algorithm.
Keywords :
edge detection; image segmentation; solid modelling; 2D point cloud; 3D point cloud; active contour; gradient vector flow snake; minifeatures; ministructures; point cloud segmentation; Computers; Convergence; Design automation; Force; Image edge detection; Pixel; Three dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Technology (ICIST), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9440-8
Type :
conf
DOI :
10.1109/ICIST.2011.5765166
Filename :
5765166
Link To Document :
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