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Signature based recognition of 2D occluded objects

机译:基于签名的2D遮挡对象识别

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A model-based method for the recognition of 2D occluded objects ispresented. Initially, to reduce the number of models to be consideredfor identification from the model database, two types of signatures areused. One is based on curvatures and the other on G curve. Next, exactmatching is used to find the correct model. The results are illustratedfor an occluded scene consisting of industrial objects. The relativeperformance of the proposed two types of signatures is also given
机译:用于识别2D遮挡对象的基于模型的方法是 提出了。最初,减少要考虑的模型数量 为了从模型数据库中进行识别,有两种类型的签名: 用过的。一个基于曲率,另一个基于G曲线。接下来,确切 匹配用于找到正确的模型。结果说明 用于由工业物体组成的封闭场景。相对的 还给出了建议的两种类型签名的性能

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