Visual perception modeling for intelligent avatars

Ronghua Liang*, Tinan Huang, Mel Krokos, Jinglong Fan

*Corresponding author for this work

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


Visual perception modeling for intelligent avatars can play subsidiary roles in controlling the behavior and animation of avatars in Intelligent Virtual Environments (IVE). We present a visual perception recognition model by integrating the color model, 3D object matching, sensors perception and path planning, therefore, it is quite useful for the avatar to make appropriate decisions in real-time in an IVE. In our approach, the 3D objects in the IVE are recognized and the moving directions of the avatar are obtained by using the avatar's perception viewpoint and sensor. The avatar's path planning employs our motion path synthesis proposed previously, called two-stage process synthesis. Experimental results show the efficiency and high prospect of our approach. Keywords: Color model, sensor perception, visual perception, motion path synthesis.

Original languageEnglish
Title of host publicationAdvances in Artificial Reality and Tele-Existence
Subtitle of host publication16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings
EditorsZhigeng Pan, Adrian Cheok, Michael Haller, Rynson W. H. Lau, Hideo Saito, Ronghua Liang
Number of pages8
Volume4282 LNCS
ISBN (Electronic)978-3-540-49779-0
Publication statusPublished - 2006
Event16th International Conference on Artificial Reality and Telexistence - Hangzhou, China
Duration: 29 Nov 20061 Dec 2006

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


Conference16th International Conference on Artificial Reality and Telexistence
Abbreviated titleICAT 2006


  • color model
  • motion path synthesis
  • sensor perception
  • visual perception


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