DocumentCode
3236407
Title
Distinctive parts for shape classification
Author
Li, Chunyuan ; You, Xinge ; Ben Hamza, A. ; Zeng, Wu ; Zhou, Long
Author_Institution
Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2011
fDate
10-13 July 2011
Firstpage
97
Lastpage
102
Abstract
Shape is an important cue for object recognition, While previous research on shape classification uses all parts of a feature set (e.g. contour segments, skeleton paths), we define distinctive parts that tell an object from objects of a different type. Our approach to analyze distinctive part is based on performing a shape-based search using each part as a query into a database. Distinctive parts of a shape are consistent with objects of the same type and different from objects of other types. Experimental results demonstrate that the concept agrees with human common sense, and show the effectiveness and efficiency of our method for shape classification as well.
Keywords
image classification; object recognition; shape recognition; distinctive parts classification; object recognition; shape based search; shape classification; Accuracy; Classification algorithms; Computational modeling; Distinctive parts; contour segment; shape classification; skeleton path;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition (ICWAPR), 2011 International Conference on
Conference_Location
Guilin
ISSN
2158-5695
Print_ISBN
978-1-4577-0283-9
Type
conf
DOI
10.1109/ICWAPR.2011.6014505
Filename
6014505
Link To Document