Paper Info
Title
A perceptual shape descriptor
Abstract
In this study, we present the two dimensional object silhouette by a one dimensional descriptor, which preserves the perceptual structure of its shape. The proposed descriptor is based on the moments of the angles between the bearings of a point on the boundary, in a set of neighborhood systems. At each point on the boundary, the angle between a pair of bearings is calculated to extract the topological information of the boundary in a given locality. The proposed method does not use any heuristic rule or empirical threshold value in the shape representation. The similarity between the patterns is measured by elastic matching of thedescriptors. The proposed shape descriptor is tested on dataset of MPEG 7 Core Experiments Shape-1. The experiments show better results than the previous studies reported in the literature.
Year
DOI
Venue
2002
10.1109/ICPR.2002.1047923
Pattern Recognition, 2002. Proceedings. 16th International Conference
Keywords
Field
DocType
image representation,image retrieval,MPEG 7 Core Experiments Shape-1,elastic matching,moments,neighborhood systems,one dimensional descriptor,perceptual shape descriptor,perceptual structure,shape representation,two dimensional object silhouette
Elastic matching,Computer vision,Active shape model,Heuristic,Locality,Pattern recognition,Computer science,Silhouette,Topological skeleton,Image retrieval,Artificial intelligence,Heat kernel signature
Conference
Volume
ISSN
ISBN
3
1051-4651
0-7695-1695-X
Citations 
PageRank 
References 
11
0.92
4
Authors
2
Name
Order
Citations
PageRank
Nafiz Arica121817.26
Fatos T. Yarman-Vural2153.51