Diffusion-geometric maximally stable component detection in deformable shapes

作者：Litman Roee^*; Bronstein Alexander M; Bronstein Michael M

来源：Computers & Graphics-UK, 2011, 35(3): 549-560.

DOI：10.1016/j.cag.2011.03.011

• Deformable shapes
• Feature detection
• Diffusion geometry
• Component tree
• Level sets
• MSER

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.

• 出版日期2011-6