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增强现实系统中基于视觉感知的抓取识别

Grasping Recognition Based on Visual Awareness in an Augmented Reality System

  • 摘要: 增强现实系统采用单目光学透视式头盔时必然会使虚拟物体呈现在真实物体之前,使用户无法得知应该在何处抓取虚拟物体,并且系统所得到的抓取数据也会受硬件本身、人和环境等因素影响而产生偏差.从人的视觉感知习惯入手,利用机器人学和光线几何理论实现基于视觉感知的碰撞检测;通过分析抓取过程,得出3条抓取知识规则,并将其与模糊理论结合应用于证据推理.实验结果表明,采用文中方法,用户能轻松地实现抓取,整个交互过程相当自然.

     

    Abstract: Using monocular optical see-through HMD (helmet-mounted display),the augmented reality system can make an optical illusion for the user,where the virtual object is in front of real objects. Thus the user can not make sure where they should grasp the virtual object. Furthermore,the data got by the system could be affected by many factors such as human operator,environment,and even the hardware itself. Through the human visual awareness,the collision detection based on visual awareness is realized using techniques from robotics and geometrical optics theory. Three knowledge rules about grasping are obtained by analyzing grasping action,and then the rules are fused with the fuzzy theory in evidence deduction. The results show that by using this method,the user can grasp virtual object easily and the process of the interaction is natural.

     

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