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

    Abstract

    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
    Pages105-112
    Number of pages8
    Volume4282 LNCS
    ISBN (Electronic)978-3-540-49779-0
    DOIs
    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
    PublisherSpringer
    Volume4282
    ISSN (Print)0302-9743

    Conference

    Conference16th International Conference on Artificial Reality and Telexistence
    Abbreviated titleICAT 2006
    Country/TerritoryChina
    CityHangzhou
    Period29/11/061/12/06

    Keywords

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

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