Autocuts: Simultaneous distortion and cut optimization for UV mapping

Roi Poranne, Marco Tarini, Sandro Huber, Daniele Panozzo, Olga Sorkine-Hornung

Research output: Contribution to journalArticlepeer-review

Abstract

We propose a UV mapping algorithm that jointly optimizes for cuts and distortion, sidestepping heuristics for placing the cuts. The energy we minimize is a state-of-the-art geometric distortion measure, generalized to take seams into account. Our algorithm is designed to support an interactive workflow: it optimizes UV maps on the fly, while the user can interactively move vertices, cut mesh parts, join seams, separate overlapping regions, and control the placement of the parameterization patches in the UV space. Our UV maps are of high quality in terms of both geometric distortion and cut placement, and compare favorably to those designed with traditional modeling tools. The UV maps can be created in a fraction of the time as existing methods, since our algorithm drastically alleviates the trial-and-error, iterative procedures that plague traditional UV mapping approaches.

Original languageEnglish
Article numbera215
JournalACM Transactions on Graphics
Volume36
Issue number6
DOIs
StatePublished - 20 Nov 2017
Externally publishedYes
EventACM SIGGRAPH Asia Conference, SA 2017 - Bangkok, Thailand
Duration: 27 Nov 201730 Nov 2017

Bibliographical note

Funding Information:
This work is partially supported by the European Research Council under Grant No.: StG-2012-306877 (ERC Starting Grant iModel), NSF CAREER award (1652515), PRIN project “DSURF” (2015B8TRFM), and a gift from Adobe Research. 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 ACM 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 permissions@acm.org. © 2017 Association for Computing Machinery. 0730-0301/2017/11-ART215 $15.00 https://doi.org/10.1145/3130800.3130845

Funding Information:
This work is partially supported by the European Research Council under Grant No.: StG-2012-306877 (ERC Starting Grant iModel), NSF CAREER award (1652515), PRIN project “DSURF” (2015B8TRFM), and a gift from Adobe Research. We would like to thank Mario Botsch, Francis Williams, and the anonymous reviewers for their helpful comments and suggestions.

Publisher Copyright:
© 2017 Association for Computing Machinery.

Keywords

  • Cuts
  • Distortion minimization
  • Parameterization
  • UV mapping

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

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