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Methods for combination of evidence in function-based 3D object recognition

机译:基于功能的3D对象识别中的证据组合方法

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Abstract: A system which utilizes a function-based representation has been implemented and tested, using the object category `chair' for a case study. Functional description is used to recognize classes and identify subclasses of known categories of objects, even if the specific object has never been encountered previously. Interpretation of the functionality of an object is accomplished through qualitative reasoning about its 3-D shape. During the recognition process, evidence is gathered as to how well the functional requirements are met by the input shape. An investigation of different types of operators used in the combination of the functional evidence has been made. Three pairs of conjunctive and disjunctive operators have been used in the recognition process of the 100$PLU object shapes. The results are compared and differences are discussed. !16
机译:摘要:利用对象类别“椅子”进行案例研究,已经实现并测试了利用基于功能的表示的系统。功能描述用于识别类和识别对象已知类别的子类,即使以前从未遇到过特定对象也是如此。对物体功能的解释是通过对其3D形状的定性推理来完成的。在识别过程中,将收集有关输入形状满足功能要求的证据。已经对功能证据组合中使用的不同类型的运算符进行了调查。在100 $ PLU对象形状的识别过程中,使用了三对合取和析取运算符。比较结果并讨论差异。 !16

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