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Novel spectral descriptor for object shape

chapter
posted on 2010-01-01, 00:00 authored by Atul SajjanharAtul Sajjanhar, G Lu, D Zhang
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.

History

Title of book

Advances in multimedia information processing - PCM 2010

Series

Lecture notes in computer science; v.6297

Chapter number

6

Pagination

58 - 67

Publisher

Springer - Verlag

Place of publication

Berlin, Germany

ISSN

0302-9743

ISBN-13

9783642157011

ISBN-10

3642157017

Language

eng

Publication classification

B1 Book chapter

Copyright notice

2010, Springer

Extent

136

Editor/Contributor(s)

G Qiu, K Lam, X Xue, C Kuo, M Lew