DocumentCode
2083455
Title
Hierarchical Procrustes Matching for Shape Retrieval
Author
McNeill, Graham ; Vijayakumar, Sethu
Author_Institution
University of Edinburgh, Edinburgh, UK
Volume
1
fYear
2006
fDate
17-22 June 2006
Firstpage
885
Lastpage
894
Abstract
We introduce Hierarchical Procrustes Matching (HPM), a segment-based shape matching algorithm which avoids problems associated with purely global or local methods and performs well on benchmark shape retrieval tests. The simplicity of the shape representation leads to a powerful matching algorithm which incorporates intuitive ideas about the perceptual nature of shape while being computationally efficient. This includes the ability to match similar parts even when they occur at different scales or positions. While comparison of multiscale shape representations is typically based on specific features, HPM avoids the need to extract such features. The hierarchical structure of the algorithm captures the appealing notion that matching should proceed in a global to local direction.
Keywords
Benchmark testing; Contracts; Feature extraction; Frequency; Image segmentation; Informatics; Least squares approximation; Object recognition; Performance evaluation; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
ISSN
1063-6919
Print_ISBN
0-7695-2597-0
Type
conf
DOI
10.1109/CVPR.2006.133
Filename
1640846
Link To Document