Diffusion-geometric maximally stable component detection in deformable shapes

Details Diffusion-geometric maximally stable component detection in deformable shapes Diffusion-geometric maximally stable component detection in deformable shapes

2010-12-17

arxiv.org/abs/1012.3951v1

Computer Science

Computer Vision and Pattern Recognition

Scientific paper

Maximally stable component detection is a very popular method for feature analysis in images, mainly due to its low computation cost and high repeatability. With the recent advance of feature-based methods in geometric shape analysis, there is significant interest in finding analogous approaches in the 3D world. In this paper, we formulate a diffusion-geometric framework for stable component detection in non-rigid 3D shapes, which can be used for geometric feature detection and description. A quantitative evaluation of our method on the SHREC'10 feature detection benchmark shows its potential as a source of high-quality features.

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