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Multi-scale lines and edges in V1 and beyond: Brightness, object categorization and recognition, and consciousness

机译:V1及更高版本中的多尺度线条和边缘:亮度,对象分类和识别以及意识

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摘要

In this paper we present an improved model for line and edge detection in cortical area V1. This model is based on responses of simple and complex cells, and it is multi-scale with no free parameters. We illustrate the use of the multi-scale line/edge representation in different processes: visual reconstruction or brightness perception, automatic scale selection and object segregation. 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. We also present a multi-scale object and face recognition model. Processing schemes are discussed in the framework of a complete cortical architecture. The fact that brightness perception and object recognition may be based on the same symbolic image representation is an indication that the entire (visual) cortex is involved in consciousness.
机译:在本文中,我们为皮质区域V1中的线和边缘检测提供了一种改进的模型。该模型基于简单和复杂单元的响应,并且是多尺度的,没有自由参数。我们说明了在不同过程中使用多尺度线条/边缘表示形式:视觉重建或亮度感知,自动尺度选择和对象分离。测试了两级对象分类方案,其中预分类仅基于粗尺度,而最终分类则基于粗略和精细尺度。我们还提出了一种多尺度的对象和面部识别模型。在完整的皮质架构的框架中讨论了处理方案。亮度感知和物体识别可以基于相同的符号图像表示这一事实表明,整个(视觉)皮质都参与了意识。

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