DocumentCode
604480
Title
Saliency computation and simplification of point cloud data
Author
Haifeng Yu ; Rui Wang ; Junli Chen ; Liang Liu ; Wanggen Wan
Author_Institution
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
fYear
2012
fDate
29-31 Dec. 2012
Firstpage
1350
Lastpage
1353
Abstract
According to human visual sensitivity, in this paper, we present a new simplification of point cloud based on point saliency. In order to find the nearest K points, we need to divide the space of Point cloud firstly. Secondly, we compute the normal vector and saliency of every point. At last, we combine octree structure and saliency to simplify point cloud data. Experiments show that our method can well preserve the point cloud in visual sensitivity area.
Keywords
data visualisation; octrees; human visual sensitivity; normal vector; octree structure; point cloud data simplification; point saliency; saliency computation; visual sensitivity area; Octree; normal vector; saliency; simplification;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4673-2963-7
Type
conf
DOI
10.1109/ICCSNT.2012.6526171
Filename
6526171
Link To Document