Shape Distributions

Shape Distributions (2002)

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

Venue:	ACM Transactions on Graphics
Citations:	117 - 0 self

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@ARTICLE{Osada02shapedistributions,
    author = {Robert Osada and Thomas Funkhouser and Bernard Chazelle and David Dobkin},
    title = {Shape Distributions},
    journal = {ACM Transactions on Graphics},
    year = {2002},
    volume = {21},
    pages = {807--832}
}

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Abstract

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 simpler than traditional shape matching methods that require pose registration, feature correspondence, or model fitting

Citations

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