Format

Send to

Choose Destination
See comment in PubMed Commons below
IEEE Trans Vis Comput Graph. 2009 Nov-Dec;15(6):1201-8. doi: 10.1109/TVCG.2009.168.

Multi-scale surface descriptors.

Author information

  • 1Department of Computer Sciences, University of Wisconsin, Madison, WI, USA. gregc@cs.wisc.edu

Abstract

Local shape descriptors compactly characterize regions of a surface, and have been applied to tasks in visualization, shape matching, and analysis. Classically, curvature has be used as a shape descriptor; however, this differential property characterizes only an infinitesimal neighborhood. In this paper, we provide shape descriptors for surface meshes designed to be multi-scale, that is, capable of characterizing regions of varying size. These descriptors capture statistically the shape of a neighborhood around a central point by fitting a quadratic surface. They therefore mimic differential curvature, are efficient to compute, and encode anisotropy. We show how simple variants of mesh operations can be used to compute the descriptors without resorting to expensive parameterizations, and additionally provide a statistical approximation for reduced computational cost. We show how these descriptors apply to a number of uses in visualization, analysis, and matching of surfaces, particularly to tasks in protein surface analysis.

PMID:
19834190
PMCID:
PMC2873089
DOI:
10.1109/TVCG.2009.168
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for IEEE Engineering in Medicine and Biology Society Icon for PubMed Central
    Loading ...
    Support Center