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Anisotropic surface based deformation

Published: 28 November 2016 Publication History

Abstract

We present a novel approach to mesh deformation that enables simple context sensitive manipulation of 3D geometry. The method is based on locally anisotropic scaling. This allows an intuitive directional modeling within an easy to implement framework. The proposed method ideally complements current intuitive sculpting paradigms by further possibilities of surface based editing without the need of additional host geometries. We also show the anisotropy to be seamlessly transferable to free boundary parameterization methods, which allows to solve the hard problem of flattening compressive garments in the domain of apparel development.

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References

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Cited By

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  • (2021)A Revisit of Shape Editing Techniques: From the Geometric to the Neural ViewpointJournal of Computer Science and Technology10.1007/s11390-021-1414-936:3(520-554)Online publication date: 1-Jun-2021

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  1. Anisotropic surface based deformation

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    cover image ACM Conferences
    SA '16: SIGGRAPH ASIA 2016 Technical Briefs
    November 2016
    124 pages
    ISBN:9781450345415
    DOI:10.1145/3005358
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    New York, NY, United States

    Publication History

    Published: 28 November 2016

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    Author Tags

    1. ARAP deformation/parameterization
    2. anisotropic modeling
    3. compressive garments
    4. directional sculpting

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    SA '16
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    SA '16: SIGGRAPH Asia 2016
    December 5 - 8, 2016
    Macau

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    Overall Acceptance Rate 178 of 869 submissions, 20%

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    • (2021)A Revisit of Shape Editing Techniques: From the Geometric to the Neural ViewpointJournal of Computer Science and Technology10.1007/s11390-021-1414-936:3(520-554)Online publication date: 1-Jun-2021

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