Artificial fishes: physics, locomotion, perception, behavior
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Multi-level direction of autonomous creatures for real-time virtual environments
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
OBBTree: a hierarchical structure for rapid interference detection
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Representing and Parameterizing Agent Behaviors
CA '02 Proceedings of the Computer Animation
New algorithm for 3D facial model reconstruction and its application in virtual reality
Journal of Computer Science and Technology
Evaluating a Computational Model of Emotion
Autonomous Agents and Multi-Agent Systems
Dynamic response for motion capture animation
ACM SIGGRAPH 2005 Papers
ACM SIGGRAPH 2006 Papers
A domain-independent framework for modeling emotion
Cognitive Systems Research
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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.