Paper Info
Title
Finding similar and discriminative parts of deformable shape classes.
Abstract
This paper presents a novel representation and matching method for deformable shapes. The proposed approach finds most expressive segments of a deformable shape category called similar and discriminative parts, which is able to distinguish the learned shape class from other groups. And it leads a learning strategy together with a matching algorithm. Then we test our method with MPEG-7 data set. © 2011 IEEE.
Year
DOI
Venue
2011
10.1109/ICNC.2011.6022152
ICNC
Keywords
DocType
Volume
deformable shape template,shape classification,shape matching,similar and discriminative parts,pattern matching,computational geometry,data compression,learning artificial intelligence,transform coding,shape,computer vision
Conference
2
Issue
Citations 
PageRank 
null
0
0.34
References 
Authors
14
4
Name
Order
Citations
PageRank
Zhenxin Wang1124.28
Jihong OuYang29415.66
Zeyang Liu300.68
Xueyan Li401.35