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An Object Representation Model Based on the Mechanism of Visual Perception

机译:基于视觉感知机制的对象表示模型

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In areas of artificial intelligence and computer vision, object representation and recognition is an important topic, and lots of methods have been developed for it. However, analysis and obtain the knowledge of object's structure at higher levels are still very difficult now. We draw on the experience of pattern recognition theories of cognitive psychology to construct a compact, abstract and symbolic representing model of object's contour based on components fitting which is more consistent with human's cognition process. In addition, we design an algorithm to match components between different images of the same object in order to make the feature extraction at higher levels possible.
机译:在人工智能和计算机视觉领域,对象表示和识别是一个重要的主题,并为此开发了许多方法。但是,现在仍然很难在更高层次上进行分析并获得对象结构的知识。我们利用认知心理学的模式识别理论的经验,基于与人的认知过程更加吻合的成分拟合,构造出紧凑,抽象和象征性的物体轮廓模型。此外,我们设计了一种算法来匹配同一对象的不同图像之间的成分,以使更高级别的特征提取成为可能。

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