Matching 3D Models with Shape Distributions

by Robert Osada , Thomas Funkhouser , Bernard Chazelle , David Dobkin

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Datum	Value	Source
TITLE	Matching 3D Models with Shape Distributions	user correction - Legacy Corrections
AUTHOR NAME	Robert Osada	user correction - Legacy Corrections
AUTHOR NAME	Thomas Funkhouser	user correction - Legacy Corrections
AUTHOR NAME	Bernard Chazelle	user correction - Legacy Corrections
AUTHOR NAME	David Dobkin	user correction - Legacy Corrections
ABSTRACT	Measuring the similarity between 3D shapes is a fundamental problem, with applications in computer vision, molecular biology, computer graphics, and a variety of other fields. A challenging aspect of this problem is to find a suitable shape signature that can be constructed and compared quickly, while still discriminating between similar and dissimilar shapes. In this paper, we propose and analyze a method for computing shape signatures for arbitrary (possibly degenerate) 3D polygonal models. The key idea is to represent the signature of an object as a shape distribution sampled from a shape function measuring global geometric properties of an object. The primary motivation for this approach is to reduce the shape matching problem to the comparison of probability distributions, which is a simpler problem than the comparison of 3D surfaces by traditional shape matching methods that require pose registration, feature correspondence, or model fitting. We find that the dissimilarities be...	user correction - Legacy Corrections
CITATIONS	59 found	ParsCit 1.0