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3D Object Retrieval Based on Improved Ray Casting Technique  

Lee Sun-Im (LG Electronics)
Kim Jae-Hyup (Computer Science and Engineering, Hanyang University)
Moon Young-Shik (Computer Science and Engineering, Hanyang University)
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Abstract
In this paper, we propose a new descriptor for 3D model retrieval based on shape information. The proposed method consists of two steps including ray casting method and spherical harmonic function, considering geometric properties of model. In the ray casting method, an adaptive sampling is performed for external shape information. By increasing shape information included in the descriptor, we improve the discriminating power of the proposed descriptor. The coefficients of spherical harmonic function are adaptively calculated, considering geometric frequency characteristics. This makes the descriptor more compact and concise without decreasing the retrieval performance. By combining two methods, we achieve more improved retrieval results.
Keywords
영상 검색;3차원 객체;레이 캐스팅;
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