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Mark Pauly, Richard Keiser, Leif Kobbelt, Markus Gross, Shape Modeling with Point-Sampled Geometry, Proceedings of Siggraph 2003
Abstract:
We present a versatile and complete free-form shape modeling
framework for point-sampled geometry. By combining unstructured
point clouds with the implicit surface definition of the moving
least squares approximation, we obtain a hybrid geometry
representation that allows us to exploit the advantages of implicit
and parametric surface models. Based on this representation we
introduce a shape modeling system that enables the designer to
perform large constrained deformations as well as boolean operations
on arbitrarily shaped objects. Due to minimum consistency
requirements, point-sampled surfaces can easily be re-structured
on the fly to support extreme geometric deformations during interactive
editing. In addition, we show that strict topology control is
possible and sharp features can be generated and preserved on
point-sampled objects. We demonstrate the effectiveness of our
system on a large set of input models, including noisy range scans,
irregular point clouds, and sparsely as well as densely sampled
models.
Bibtex:
@inproceedings{pkkg-smpsg-03,
author = {Mark Pauly and Richard Keiser and Leif Kobbelt and Markus Gross},
title = {Shape Modeling with Point-Sampled Geometry},
booktitle = {Proceedings of Siggraph },
year = {2003},
}
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