Statistical spherical wavelet moments for Content-based 3D model retrieval
Laga, H. and Nakajima, M. (2007) Statistical spherical wavelet moments for Content-based 3D model retrieval. In: 25th Computer Graphics International Conference (CGI) 2007, 30 May - 2 June 2007, Petropolis, Brazil
The description of 3D shapes with features that are invariant under similarity transformations is one of the challenging issues in content-based 3D model retrieval. In this paper we show that shape sampling affects significantly the rotation invariance of existing shape descriptors. Then we propose a new parameterization method that samples uniformly the shape which is then fed to a spherical wavelet analyzer to extract discriminative features. We introduce new shape descriptors based on higher order statistical moments of the sphericalwavelet sub-bands of the spherical shape function. The proposed descriptors are compact and invariant under similarity transformations.We demonstrate their efficiency, using the Princeton Shape Benchmark, regarding the computational aspects and retrieval performance.
|Publication Type:||Conference Paper|
|Item Control Page|
Downloads per month over past year