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SMI
2005
IEEE

Curvature Maps for Local Shape Comparison

13 years 9 months ago
Curvature Maps for Local Shape Comparison
— The ability to identify similarities between shapes is important for applications such as medical diagnosis, object registration and alignment, and shape retrieval. In this paper we present a method, the Curvature Map, that uses surface curvature properties in a region around a point to create a unique signature for that point. These signatures can then be compared to determine the similarity of one point to another. To gather curvature information around a point we explore two techniques, rings (which use the local topology of the mesh) and Geodesic Fans (which trace geodesics along the mesh from the point). We explore a variety of comparison functions and provide experimental evidence for which ones provide the best discriminatory power. We show that Curvature Maps are both more robust and provide better discrimination than simply comparing the curvature at individual points.
Timothy Gatzke, Cindy Grimm, Michael Garland, Stev
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where SMI
Authors Timothy Gatzke, Cindy Grimm, Michael Garland, Steve Zelinka
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