Novel spectral descriptor for object shape

Sajjanhar, Atul, Lu, Guojun and Zhang, Dengsheng 2010, Novel spectral descriptor for object shape. In Qiu, Guoping, Lam, Kin Man, Xue, Xiang-Yang, Kuo, C.-C. Jay and Lew, Michael S. (ed), , Springer - Verlag, Berlin, Germany, pp.58-67, doi: 10.1007/978-3-642-15702-8_6.

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Title Novel spectral descriptor for object shape
Author(s) Sajjanhar, AtulORCID iD for Sajjanhar, Atul
Lu, Guojun
Zhang, Dengsheng
Editor(s) Qiu, Guoping
Lam, Kin Man
Xue, Xiang-Yang
Kuo, C.-C. Jay
Lew, Michael S.
Publication date 2010
Series Lecture notes in computer science; v.6297
Chapter number 6
Total chapters 136
Start page 58
End page 67
Total pages 10
Publisher Springer - Verlag
Place of Publication Berlin, Germany
Keyword(s) Shape descriptor
Content based image retrieval
Feature extraction
Summary In this paper, we propose a novel descriptor for shapes. The proposed descriptor is obtained from 3D spherical harmonics. The inadequacy of 2D spherical harmonics is addressed and the method to obtain 3D spherical harmonics is described. 3D spherical harmonics requires construction of a 3D model which implicitly represents rich features of objects. Spherical harmonics are used to obtain descriptors from the 3D models. The performance of the proposed method is compared against the CSS approach which is the MPEG-7 descriptor for shape contour. MPEG-7 dataset of shape contours, namely, CE-1 is used to perform the experiments. It is shown that the proposed method is effective.
ISBN 3642157017
ISSN 0302-9743
Language eng
DOI 10.1007/978-3-642-15702-8_6
Field of Research 080106 Image Processing
Socio Economic Objective 890301 Electronic Information Storage and Retrieval Services
HERDC Research category B1 Book chapter
Copyright notice ©2010, Springer
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