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CORTICAL OBJECT SEGREGATION AND CATEGORIZATION BY MULTI-SCALE LINE AND EDGE CODING

机译:通过多尺度线和边缘编码分类和分类皮质对象分类

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In this paper we present an improved scheme for line and edge detection in cortical area V1, based on responses of simple and complex cells, truly multi-scale with no free parameters. We illustrate the multi-scale representation for visual reconstruction, and show how object segregation can be achieved with coarse-to-fine-scale groupings. A two-level object categorization scenario is tested in which pre-categorization is based on coarse scales only, and final categorization on coarse plus fine scales. Processing schemes are discussed in the framework of a complete cortical architecture.
机译:在本文中,我们在皮质区域V1中提出了一种改进的线和边缘检测方案,基于简单和复杂的细胞的响应,真正的多尺度没有自由参数。我们说明了视觉重建的多尺度表示,并显示如何通过粗略尺度分组实现对象分离。测试了两个级别的对象分类方案,其中预分类是基于粗略的尺度,并在粗糙加上精细尺度上进行最终分类。处理方案在完整的皮质架构的框架中讨论。

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