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首页> 外文期刊>IEEE Transactions on Pattern Analysis and Machine Intelligence >Achieving generalized object recognition through reasoning about association of function to structure
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Achieving generalized object recognition through reasoning about association of function to structure

机译:通过推理功能与结构的关联来实现广义对象识别

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摘要

An attempt is made to demonstrate the feasibility of defining an object category in terms of the functional properties shared by all objects in the category. This form of representation should allow much greater generality. A complete system has been implemented that takes the boundary surface description of a 3D object as its input and attempts to recognize whether the object belongs to the category 'chair' and, if so, into which subcategory if falls. This is, to the authors' knowledge, the first implemented system to explore the use of a purely function-based definition of an object category (that is, no explicit geometric or structural model) to recognize 3D objects. System competence has been evaluated on a database of over 100 objects, and the results largely agree with human interpretation of the objects.
机译:试图证明根据类别中所有对象共享的功能属性定义对象类别的可行性。这种表示形式应具有更大的通用性。已经实现了一个完整的系统,该系统将3D对象的边界表面描述作为其输入,并尝试识别该对象是否属于“椅子”类别,如果属于,则属于该子类别。据作者所知,这是第一个实施的系统,用于探索使用纯粹基于功能的对象类别定义(即没有明确的几何或结构模型)来识别3D对象。系统能力已在包含100多个对象的数据库中进行了评估,其结果在很大程度上与人对对象的解释相符。

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