Graphics and the Understanding of Perceptual Mechanisms: Analogies and Similarities

L. Hess, B. Mayoh
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引用次数: 3

Abstract

Graphics give an alternative representation model for images and graphic rewriting gives another viewpoint for image matching, image retrieval and identity of shape constancy - all subjects that have raised passionate discussion of mathematical models for both machine and human vision. Attributed graph grammars are a powerful way of describing transformations of complex structures. Attributed graph grammars have been applied to describe visual languages, distributed systems, chemical reactions, music analysis and much else. Graphics combine the geometry of human vision with the geometry of visual space. Graphic vertices model basic percept elements, graphic edges model percept and neighbour relations, attribute Sigma-algebras formalise space locations on space and transformations, while graphic grammars give rules that express perceived shapes. Graphics production can capture similarities of shapes, as a restriction of the graphic analogy reasoning on visual space. Composition of shapes by specific operations causes gradual distortions
图形和感知机制的理解:类比和相似性
图形为图像提供了另一种表示模型,图形重写为图像匹配、图像检索和形状一致性识别提供了另一种视角——所有这些主题都引发了对机器和人类视觉数学模型的热烈讨论。属性图语法是描述复杂结构转换的一种强有力的方法。属性图语法已被应用于描述视觉语言、分布式系统、化学反应、音乐分析等许多领域。图形学将人类视觉的几何与视觉空间的几何相结合。图形顶点建模基本感知元素,图形边缘建模感知和邻居关系,属性西格玛代数形式化空间和变换上的空间位置,而图形语法给出表达感知形状的规则。图形制作可以捕捉形状的相似性,作为图形类比推理对视觉空间的限制。由特定操作组成的形状会引起逐渐的扭曲
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