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SHREC'08 entry: Local volumetric features for 3D model retrieval

9 years 4 months ago
SHREC'08 entry: Local volumetric features for 3D model retrieval
In this paper, we describe a method of shape-based 3D model retrieval that employs a set of 3D, local, multi-scale features extracted from a voxel representation of a 3D model to be compared. The method first convert a surface based 3D model into a voxel model. Then, a novel 3D extension of the popular 2D image feature, the Scale Invariant Feature Transform by David Lowe, is applied to extract a set of 3D local features. The 3D feature is invariant to rotation, uniform scaling, and translation in 3D space. A 3D model typically yields thousands of such local 3D features. Our method extracts thousands of 3D local features from a model to compare its shape. Our evaluation showed that the method is quite effective, achieving Means First Tier of 58% for the Query Set 1 of the SHREC’08 Generic Models Track.
Kunio Osada, Takahiko Furuya, Ryutarou Ohbuchi
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where SMI
Authors Kunio Osada, Takahiko Furuya, Ryutarou Ohbuchi
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