人工鱼虚拟嗅觉系统研究

为了丰富人工鱼的感知能力，提高对自然鱼的逼真动画效果，在分析“自然鱼”嗅觉机制、参考“机器鱼”感知系统的基础上，研究并实现了人工鱼的一种虚拟嗅觉系统。首先建立了智能虚拟环境下人工鱼的嗅觉感知模型，并仿照生物嗅觉形成机理设计了三层嗅觉识别模型，采用基于主成分分析的模糊识别方法实现了嗅觉信息的识别。经动画仿真，得到满意结果。嗅觉系统的研究和实现为人工鱼多感知融合系统提供了基础，也可为机器鱼嗅觉研究提供软件仿真平台。

Research on Virtual Smelling Perception System of Artificial Fish

Artificial fish for computer animation is created with artificial life. In order to enrich perceptive abilities of artificial fish and exhibit vivid animation, a kind of virtual smelling perception system of artificial fish is proposed based on analysis of the olfaction mechanism of natural fish and perception system of “robot fish”. Firstly, the smelling perception model in Intelligent Virtual Environment (IVE) is built. Secondly, three-layer recognition model of smelling perception is designed according to the biologic mechanism of olfaction. The recognition of smelling information is achieved using fuzzy recognition method based on principal components analysis. The result is satisfied in computer animation simulation. And the design of smelling perception system will set a good foundation for research on multi-perception fusion and supplies a software simulation platform for the researching on recognition of smelling of robot fish.