GPU-assisted Positive Mean Value Coordinates for Mesh Deformations
Yaron Lipman, Johannes Kopf, Daniel Cohen-Or, David Levin
Eurographics Symposium on Geometry Processing, 2007, pp. 117--123.
Abstract: In this paper we introduce positive mean value coordinates (PMVC) for mesh deformation. Following the observations of Joshi et al. [JMD*07] we show the advantage of having positive coordinates. The control points of the deformation are the vertices of a "cage" enclosing the deformed mesh. To define positive mean value coordinates for a given vertex, the visible portion of the cage is integrated over a sphere. Unlike MVC [JSW05], PMVC are computed numerically. We show how the PMVC integral can be efficiently computed with graphics hardware. While the properties of PMVC are similar to those of Harmonic coordinates [JMD*07], the setup time of the PMVC is only of a few seconds for typical meshes with 30K vertices. This speed-up renders the new coordinates practical and easy to use.
@inproceedings{Lipman:2007:GPM,
author = {Yaron Lipman and Johannes Kopf and Daniel Cohen-Or and David Levin},
title = {GPU-assisted Positive Mean Value Coordinates for Mesh Deformations},
booktitle = {Eurographics Symposium on Geometry Processing},
pages = {117--123},
year = {2007},
}
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