Skip to main navigation Skip to search Skip to main content

GPU-based real-time deformation with normal reconstruction

  • Yinghui Che*
  • , Jing Wang
  • , Xiaohui Liang
  • *Corresponding author for this work

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

Abstract

Real-time deformation plays an important role in interactive applications such as video games. A new method of real-time dynamic deformation based on linear modal analysis is introduced in this paper. Compared to the existing techniques using the vertex program of the GPU to calculate vertex positions, our approach stores the modal displacement matrix in a series of 2D floating-point textures and the fragment program calculates vertex positions. We also encode the mesh neighbourhood information as an index form, and store it as textures. With a texture containing vertex positions, the fragment program can calculate vertex normals by local averaging. Experiments show that the proposed technique fully utilizes the parallel processing ability of the GPU, and it is suitable for the applications of real-time deformation.

Original languageEnglish
Title of host publicationTechnologies for E-Learning and Digital Entertainment - Second International Conference, Edutainment 2007, Proceedings
PublisherSpringer Verlag
Pages667-676
Number of pages10
ISBN (Print)9783540730101
DOIs
StatePublished - 2007
Event2nd International Conference on Edutainment, Edutainment 2007 - Hong Kong, Hong Kong SAR
Duration: 11 Jun 200713 Jun 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4469 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Edutainment, Edutainment 2007
Country/TerritoryHong Kong SAR
CityHong Kong
Period11/06/0713/06/07

Fingerprint

Dive into the research topics of 'GPU-based real-time deformation with normal reconstruction'. Together they form a unique fingerprint.

Cite this