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Multi-Scale Surface Descriptors
November/December 2009 (vol. 15 no. 6)
pp. 1201-1208
ASCII Text
x 
 
Gregory Cipriano, George N. Phillips Jr., Michael Gleicher, "Multi-Scale Surface Descriptors," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1201-1208, November/December, 2009.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2009.168,
author = {Gregory Cipriano and George N. Phillips Jr. and Michael Gleicher},
title = {Multi-Scale Surface Descriptors},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {15},
number = {6},
issn = {1077-2626},
year = {2009},
pages = {1201-1208},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2009.168},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - Multi-Scale Surface Descriptors
IS - 6
SN - 1077-2626
SP1201
EP1208
EPD - 1201-1208
A1 - Gregory Cipriano,
A1 - George N. Phillips Jr.,
A1 - Michael Gleicher,
PY - 2009
KW - Curvature
KW - descriptors
KW - npr
KW - stylized rendering
KW - shape matching.
VL - 15
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
Gregory Cipriano, University of Wisconsin
George N. Phillips Jr., University of Wisconsin
Michael Gleicher, University of Wisconsin
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.

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Index Terms:
Curvature, descriptors, npr, stylized rendering, shape matching.
Citation:
Gregory Cipriano, George N. Phillips Jr., Michael Gleicher, "Multi-Scale Surface Descriptors," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1201-1208, Nov.-Dec. 2009, doi:10.1109/TVCG.2009.168
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