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Computer Graphics International Conference

CGI 2019: Advances in Computer Graphics pp 131–142Cite as

Field-Aware Parameterization for 3D Painting

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11542))

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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Author information

Authors and Affiliations

  1. Intel Corporation, Folsom, CA, 95630, USA

    Songgang Xu

  2. Texas A&M University, College Station, TX, 77843, USA

    Hang Li & John Keyser

Authors
  1. Songgang Xu
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  2. Hang Li
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  3. John Keyser
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Corresponding author

Correspondence to John Keyser .

Editor information

Editors and Affiliations

  1. University of Calgary, Calgary, AB, Canada

    Marina Gavrilova

  2. Bournemouth University, Poole, UK

    Jian Chang

  3. University of Geneva, MIRALab, Carouge, Switzerland

    Nadia Magnenat Thalmann

  4. International Christian University, Tokyo, Japan

    Eckhard Hitzer

  5. Waseda University, Tokyo, Japan

    Hiroshi Ishikawa

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Xu, S., Li, H., Keyser, J. (2019). Field-Aware Parameterization for 3D Painting. In: Gavrilova, M., Chang, J., Thalmann, N., Hitzer, E., Ishikawa, H. (eds) Advances in Computer Graphics. CGI 2019. Lecture Notes in Computer Science(), vol 11542. Springer, Cham. https://doi.org/10.1007/978-3-030-22514-8_11

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  • DOI: https://doi.org/10.1007/978-3-030-22514-8_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22513-1

  • Online ISBN: 978-3-030-22514-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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