- Title
- Novel spectral descriptor for object shape
- Creator
- Sajjanhar, Atul; Lu, Guojun; Zhang, Dengsheng
- Date
- 2010
- Type
- Text; Book chapter
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/70693
- Identifier
- vital:6537
- Identifier
- ISBN:9783642157011
- 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
- Publisher
- Springer-verlag
- Relation
- Proceedings of the 11th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing p. 58-67
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- Shape descriptor; Content-based retrieval; Feature extraction; 0801 Artificial Intelligence and Image Processing
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