基于知识的机器人视觉测量分类与进展
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中国科学院自动化研究所

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徐德

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Development and classification of knowledge-based visual measurement
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    摘要:

    提出了基于知识的视觉测量的观点, 将传统的立体视觉看作一种基于摄像机知识的视觉测量, 并对当前其他的视觉测量方式按所采用知识的不同进行了分类. 分别简要介绍了基于点、线、面、统计特性等目标知识的视觉测量, 讨论了基于运动知识的视觉测量和基于环境知识的视觉测量. 在对视觉测量所采用知识的表达和获取进行初步探讨的基础上, 给出了视觉测量的几个值得深入研究的发展方向. 

    Abstract:

    A new view point of knowledge-based visual measurement is proposed, which takes the traditional stereovision
    as a kind of visual measurement based on cameras’ knowledge. The currently works on visual measurement are classed to different categories based on the different kinds of knowledge used. The visual measurement methods based on the object’s knowledge such as point, line, plane, and statistic characteristics are shortly introduced. Then the methods based on motion knowledge and environmental knowledge are discussed. The knowledge expression and acquirement for visual measurement are concisely commented. Finally, several potentially developmental topics that are valuable to be further investigated are suggested.

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徐德.基于知识的机器人视觉测量分类与进展[J].控制与决策,2010,25(4):481-486

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  • 收稿日期:2009-05-05
  • 最后修改日期:2009-08-19
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  • 在线发布日期: 2010-04-20
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