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局部与全局格式塔定律:一种基于神经的光谱方法。

Local and Global Gestalt Laws: A Neurally Based Spectral Approach.

作者信息

Favali Marta, Citti Giovanna, Sarti Alessandro

机构信息

Center of Mathematics, CNRS - EHESS, Paris, 75244, France

Dipartimento di Matematica, Università di Bologna, Bologna, 40126, Italy

出版信息

Neural Comput. 2017 Feb;29(2):394-422. doi: 10.1162/NECO_a_00921. Epub 2016 Dec 28.

Abstract

This letter presents a mathematical model of figure-ground articulation that takes into account both local and global gestalt laws and is compatible with the functional architecture of the primary visual cortex (V1). The local gestalt law of good continuation is described by means of suitable connectivity kernels that are derived from Lie group theory and quantitatively compared with long-range connectivity in V1. Global gestalt constraints are then introduced in terms of spectral analysis of a connectivity matrix derived from these kernels. This analysis performs grouping of local features and individuates perceptual units with the highest salience. Numerical simulations are performed, and results are obtained by applying the technique to a number of stimuli.

摘要

这封信提出了一种图形-背景清晰度的数学模型,该模型兼顾了局部和全局格式塔定律,并且与初级视觉皮层(V1)的功能结构兼容。通过从李群理论推导出来的合适的连接核来描述良好延续性的局部格式塔定律,并将其与V1中的长程连接进行定量比较。然后根据从这些核导出的连接矩阵的频谱分析引入全局格式塔约束。这种分析对局部特征进行分组,并确定最显著的感知单元。进行了数值模拟,并通过将该技术应用于多种刺激获得了结果。

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