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