A Gromov-Hausdorff Framework with Diffusion Geometry for Topological Robust Non-rigid Shape Matching
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A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching Published: 08 October 2009 Volume 89 , pages 266–286 ( 2010 ) Cite this article Save article View saved research International Journal of Computer Vision Aims and scope Submit manuscript Abstract In this paper, the problem of non-rigid shape recognition is studied from the perspective of metric geometry. In particular, we explore the applicability of diffusion distances within the Gromov-Hausdorff framework. While the traditionally used geodesic distance exploits the shortest path between poi
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