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Authors: Uwe Berner and Thomas Rieger

Affiliation: Technische Universität Darmstadt, Germany

ISBN: 972-8865-39-2

Keyword(s): Surface Simplification, Morph-Targets, Quadric Error Metrics, Avatar.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Modeling and Algorithms ; Multi-Resolution Modeling ; Surface Modeling

Abstract: Many effective automatic surface simplification algorithms have been developed. These automatic algorithms create very plausible results in many cases, but at very low levels of detail they do not preserve the visual appearance of the original model very well. This could be improved if surface simplification algorithms were able to make use of semantic or high-level meaning of models. The idea of our new method using a morph-target-based surface simplification is to use distance information inside the morph-targets to acquire the relative importance of different surface regions without user guidance. Using this additional input the model is simplified by using modified quadric error metrics.

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Paper citation in several formats:
Berner U.; Rieger T. and (2006). SURFACE SIMPLIFICATION GUIDED BY MORPH-TARGETS.In Proceedings of the First International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, ISBN 972-8865-39-2, pages 116-121. DOI: 10.5220/0001355001160121

@conference{grapp06,
author={Uwe Berner and Thomas Rieger},
title={SURFACE SIMPLIFICATION GUIDED BY MORPH-TARGETS},
booktitle={Proceedings of the First International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP,},
year={2006},
pages={116-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001355001160121},
isbn={972-8865-39-2},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP,
TI - SURFACE SIMPLIFICATION GUIDED BY MORPH-TARGETS
SN - 972-8865-39-2
AU - Berner, U.
AU - Rieger, T.
PY - 2006
SP - 116
EP - 121
DO - 10.5220/0001355001160121

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