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IMPLEMENTATION OF VISUAL ROUTINES

机译:视觉例程的实现

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摘要

Cognition of abstract visual shape properties and spatial relations go beyond object recognition. Ullman proposed visual routines~(16) 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:对抽象视觉形状属性和空间关系的认识已经超出了对象的认识范围。 Ullman提出了视觉例程〜(16)作为灵活创建不同抽象视觉特征的机制,每个例程都是由更多基本视觉元素操作组成的序列。我们重新审视视觉程序,这是受最近神经生理学进展(Roelfsema等,2000)和灵长类视觉系统的计算模型的启发而提出的,并提出了实施视觉程序所基于的基本操作的可能的潜在机制。尽管先前的视觉例程方法强调边界轮廓处理或轮廓之间区域的填充,但除了边界轮廓之外,我们还专注于中间轴和图像分割,以更全面地理解视觉例程。我们至少在概念上表明,所有视觉例程都可以根据图像段进行解释。该框架适合提取各种抽象形状属性,这些属性是生成与人类视觉感知相一致的视觉程序所必需的,这些视觉任务在诸如螺旋识别,纹理分离,大小错觉等任务中得到了体现。

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