SPHERICAL WAVELET DESCRIPTORS FOR CONTENT BASED 3D MODEL RETRIEVAL(International Workshop on Advanced Image Technology 2006)
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概要
- 論文の詳細を見る
The description of 3D shapes with features that possess descriptive power is one of the most challenging issues in content based 3D model retrieval. In this paper we propose the usage of spherical wavelet transform as a tool for the analysis of 3D shapes represented by functions on the unit sphere. We introduce three new shape descriptors extracted from the spherical wavelet coefficients, namely : (1) a subset of the spherical wavelet coefficients, (2) the L_1 and, (3) the L_2 energies of the spherical wavelet sub-bands. The advantage of this tool is three fold : First, it filters out small shape details which hamper the retrieval performance. Second, it takes into account feature localization and local orientations. Third, it allows shape matching at different resolutions. Spherical wavelet descriptors are natural extension of 3D Zernike moments and spherical harmonics. We evaluate, on the Princeton Shape Benchmark, the proposed descriptors regarding computational aspects and shape retrieval performance.
- 社団法人電子情報通信学会の論文
- 2006-01-03
著者
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TAKAHASHI Hiroki
Graduate School of Information Science, Nara Institute of Science and Technology
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NAKAJIMA Masayuki
Graduate School of Information Science & Engineering, Tokyo Institute of Technology
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Laga Hamid
Graduate School of Information Science and Engineering Tokyo Institute of Technology
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Takahashi H
Department Of Human Communication The University Of Electro-communications
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Takahashi H
Tokyo Inst. Technol. Jpn
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Laga Hamid
Global Edge Institute Tokyo Institute Of Technology
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Takahashi H
Tokyo Inst. Technol. Tokyo Jpn
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Nakajima Masayuki
Graduate School Of Information And Engineering Tokyo Institute Of Technology
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Takahashi Hiroki
Graduate School Of Human And Environmental Studies Kyoto University
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Takahashi Hiroki
Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8579, Japan
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