27 January 2011 Salient local 3D features for 3D shape retrieval
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Proceedings Volume 7864, Three-Dimensional Imaging, Interaction, and Measurement; 78640S (2011); doi: 10.1117/12.872984
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
In this paper we describe a new formulation for the 3D salient local features based on the voxel grid inspired by the Scale Invariant Feature Transform (SIFT). We use it to identify the salient keypoints (invariant points) on a 3D voxelized model and calculate invariant 3D local feature descriptors at these keypoints. We then use the bag of words approach on the 3D local features to represent the 3D models for shape retrieval. The advantages of the method are that it can be applied to rigid as well as to articulated and deformable 3D models. Finally, this approach is applied for 3D Shape Retrieval on the McGill articulated shape benchmark and then the retrieval results are presented and compared to other methods.
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Afzal Godil, Asim Imdad Wagan, "Salient local 3D features for 3D shape retrieval", Proc. SPIE 7864, Three-Dimensional Imaging, Interaction, and Measurement, 78640S (27 January 2011); doi: 10.1117/12.872984; https://doi.org/10.1117/12.872984
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KEYWORDS
3D modeling

Feature extraction

Performance modeling

3D image processing

Optical spheres

3D metrology

Animal model studies

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