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Implementation of visual routines

机译:实现视觉例程

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Cognition of abstract visual shape properties and spatial relations go beyond object recognition. Ullman proposed visual routines as the mechanism for flexible creation of different abstract visual features, each routine being a sequence composed of more basic visual elemental operations. We re-examine visual routines, inspired by recent neurophysiological advances (Roelfsema et al., 2000) and computational models of the primate visual system and propose possible underlying mechanisms for implementing elemental operations upon which visual routines are based. Whereas previous approaches to visual routines emphasized boundary contour processing or filling-in of regions between contours, we focus on medial axes and image segmentation in addition to boundary contours for a more inclusive understanding of visual routines. We show, at least conceptually, that all visual routines can be interpreted in terms of image segments. This framework suits the extraction of various abstract shape properties necessary to produce visual routines which agree with human visual perception in tasks such as discrimination of spirals, texture segregation, size illusions and more.
机译:抽象视觉形状特性和空间关系的认识超出了对象识别。 Ullman提出了视觉例程作为灵活创建不同抽象视觉功能的机制,每个例程是由更基本的视觉元素操作组成的序列。我们重新检查视觉例程,灵感来自最近的神经生理学进展(RoSfsema等,2000)和灵长类动物视觉系统的计算模型,并提出了用于实现视觉例程所基于的元素操作的可能底层机制。然而,以前的视觉例程的方法强调了轮廓之间的边界轮廓处理或填充区域,除了用于更包容的视觉例程的边界轮廓之外,除了边界轮廓之外,我们还专注于内侧轴和图像分割。我们在概念上,我们在概念上显示所有视觉例程都可以在图像段方面解释。该框架适用于产生视觉例程所必需的各种抽象形状属性的提取,这些属性在任务中同意人类视觉感知,例如螺旋,质地隔离,大小幻想等的辨别。

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