Diffusion tensor weighted harmonic fields for feature classification

  • Shengfa Wang
  • , Tingbo Hou
  • , Zhixun Su
  • , Hong Qin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an efficient method for feature definition and classification on shapes. We tackle this challenge by exploring the weighted harmonic field (WHF), which is also the stable state of a heat diffusion regulated by an anisotropic diffusion tensor. The technical merit of our method is highlighted by the elegant integration of locally-defined diffusion tensor and globally-defined harmonic field in an anisotropic manner. At the computational front, the partial differential equation of heat diffusion becomes a linear system with Dirichlet boundary condition at heat sources (also called seeds). We develop an algorithm for automatic seed selection, enhanced by a fast update procedure in a high dimensional space. Various experiments are conducted to demonstrate the ease of manipulation and high performance of our method.

Original languageEnglish
Title of host publication19th Pacific Conference on Computer Graphics and Applications, PG 2011 - Short Papers
EditorsBing-Yu Chen, Jan Kautz, Tong-Yee Lee, Ming C. Lin
PublisherIEEE Computer Society
Pages93-98
Number of pages6
ISBN (Electronic)9783905673845
DOIs
StatePublished - 2011
Externally publishedYes
Event19th Pacific Conference on Computer Graphics and Applications, PG 2011 - Kaohsiung, Taiwan, Province of China
Duration: 21 Sep 201123 Sep 2011

Publication series

NameProceedings - Pacific Conference on Computer Graphics and Applications
Volume2011-September
ISSN (Print)1550-4085

Conference

Conference19th Pacific Conference on Computer Graphics and Applications, PG 2011
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period21/09/1123/09/11

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