Novel spectral descriptor for object shape

Authors:
Atul Sajjanhar;Guojun Lu;Dengsheng Zhang
Affiliations:
School of Information Technology, Deakin University, Burwood, VIC, Australia and Monash University, Australia;Gippsland School of Information Technology, Monash University, Churchill, VIC, Australia;Gippsland School of Information Technology, Monash University, Churchill, VIC, Australia
Venue:
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Year:
2010

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Abstract

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.