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Robust Particle Systems for Curvature Dependent Sampling of Implicit Surfaces Miriah D. Meyer School of Computing University of Utah
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Document Date: 2011-07-06 13:55:23


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City

New York / L. Velho / /

Company

Cambridge University Press / J. Publishers Inc. / ACM Press / W. H. Press S. A. / IEEE Computer Society Press / /

Currency

pence / /

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Facility

Computing University / /

IndustryTerm

Particle systems / projection operator / energy computations / well behaved potential energy function / energy minimizations / low energy / acceptable energy insert / system energy measure / lower energy position / local energy distribution / imum energy points / similar energy measures / cle systems / electrostatic energy functions / vector direct product / per-particle energy functions / scale-invariant energy / lower energy state / energy gradient / local energy values / energy measure / desirable energy function / system energy / energy functions / potential energy functions / energy / energy function / bad energy function / relative energy / deletion algorithm / potential energy / surface sampling particle systems / cotangent energy / cotangent energy function / particle energy / high energy / numerical algorithm / energy measures / energy surface / gradient descent algorithms / /

Organization

Cambridge University / National Science Foundation / L. H. IEEE Computer Society / Implicit Surfaces Miriah D. Meyer School / University of Utah / Department of Computer Science / Ecole Normale Sup´erieure Paris / IEEE Computer Society / Stanford / /

Person

Marie-Paule Gascuel / Miranda Gomes / David Breen / Morgan Kaufmann / Addison Wesley / Turk / Pierre Georgel / /

Position

editor / /

ProvinceOrState

New York / Utah / /

PublishedMedium

Computer Graphics / /

Technology

Discretized gradient descent algorithms / Levenberg-Marquardt algorithm / L-M algorithm / deletion algorithm / numerical algorithm / 1.7GHz P4 processor / animation / /

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