Cross-parameterization for triangular meshes with semantic features

Shun Matsui, Kota Aoki, Hiroshi Nagahashi, Ke N.Ichi Morooka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In 3D computer graphics, mesh parameterization is a key technique for digital geometry processings(DGP) such as morphing, shape blending, texture transfer, re-meshing and so on. This paper proposes a novel approach for parameterizing a mesh into another one directly. The main idea of our method is to combine a competitive learning and a least-square mesh techniques. It is enough to give some semantic feature correspondences between target meshes, even if they are in different shapes or in different poses. We show the effectiveness of our approach by giving some examples of its applications.

Original languageEnglish
Title of host publicationProceedings - The Pacific Conference on Computer Graphics and Applications Pacific Graphics 2007, PG
Pages457-460
Number of pages4
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event15th Pacific Conference on Computer Graphics and Applications, Pacific Graphics 2007, PG - Maui, HI, United States
Duration: Oct 29 2007Nov 2 2007

Publication series

NameProceedings - Pacific Conference on Computer Graphics and Applications
ISSN (Print)1550-4085

Conference

Conference15th Pacific Conference on Computer Graphics and Applications, Pacific Graphics 2007, PG
CountryUnited States
CityMaui, HI
Period10/29/0711/2/07

ASJC Scopus subject areas

  • Computer Science(all)

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