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Contour representation and shape matching based on mechanism of visual cortex

机译：基于视觉皮层机制的轮廓表示与形状匹配

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We present a novel model to represent and match contour lines of closed shapes. This model is based on the mechanism of visual cortex. It extracts orientation features from input images with simple computation units that imitate simple cells in the visual cortex. The contour lines are accurately located by searching adjacent activated simple units. These activated simple units are concatenated in a chain to code the contour lines of closed shapes. In order to match between shapes, we propose a measure based on Fréchet distance and use dynamic programming to calculate the distance between different chains of simple units. The model is evaluated on the MPEG7 shape data set. We also demonstrate that this model can explain the shape selectivity of visual area V4.
机译：我们提出了一种新颖的模型来代表和匹配封闭形状的轮廓线。该模型基于Visual Cortex的机制。它从输入图像中提取取向特征，其中简单的计算单元，用于在Visual Cortex中模仿简单的单元格。通过搜索相邻的激活的简单单元准确地定位轮廓线。这些激活的简单单元在链中连接到编码封闭形状的轮廓线。为了在形状之间匹配，我们提出了一种基于FRÉCHET距离的度量，并使用动态编程来计算简单单元的不同链之间的距离。在MPEG7形状数据集上评估模型。我们还证明该模型可以解释视觉区域V4的形状选择性。

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