DocumentCode
2638039
Title
On 3D shape similarity
Author
Shum, Heung-Yeung ; Hebert, Martial ; Ikeuchi, Katsushi
Author_Institution
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
1996
fDate
18-20 Jun 1996
Firstpage
526
Lastpage
531
Abstract
This paper addresses the problem of 3D shape similarity between closed surfaces. A curved or polyhedral 3D object of genus zero is represented by a mesh that has nearly uniform distribution with known connectivity among mesh nodes. A shape similarity metric is defined based on the L2 distance between the local curvature distributions over the mesh representations of the two objects. For both convex and concave objects, the shape metric can be computed in time O(n 2), where n is the number of tessellations of the sphere or the number of meshes which approximate the surface. Experiments show that our method produces good shape similarity measurements
Keywords
computer vision; object recognition; 3D shape similarity; L2 distance; closed surfaces; concave objects; genus zero; local curvature distributions; mesh nodes; mesh representations; polyhedral 3D object; shape metric; shape similarity measurements; shape similarity metric; Computer vision; Humans; Image sensors; Layout; Object recognition; Pattern matching; Robots; Shape measurement; Stereo vision; Turning;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
Conference_Location
San Francisco, CA
ISSN
1063-6919
Print_ISBN
0-8186-7259-5
Type
conf
DOI
10.1109/CVPR.1996.517122
Filename
517122
Link To Document