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2019 | OriginalPaper | Chapter

Field-Aware Parameterization for 3D Painting

Authors : Songgang Xu, Hang Li, John Keyser

Published in: Advances in Computer Graphics

Publisher: Springer International Publishing

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Abstract

We present a two-phase method that generates a near-isometric parameterization using a local chart of the surface while still being aware of the geodesic metric. During the first phase, we utilize a novel method that approximates polar coordinates to obtain a preliminary parameterization as well as the gradient of the geodesic field. For the second phase, we present a new optimization that generates a near isometric parameterization while considering the gradient field, allowing us to generate high quality parameterizations while keeping the geodesic information. This local parameterization is applied in a view-dependent 3D painting system, providing a local adaptive map computed at interactive rates.

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Metadata
Title
Field-Aware Parameterization for 3D Painting
Authors
Songgang Xu
Hang Li
John Keyser
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-22514-8_11

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