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基于相似性和接近性的知觉分组:实验结果可通过强度自相关进行预测。

Perceptual grouping by similarity and proximity: experimental results can be predicted by intensity autocorrelations.

作者信息

Ben-Av M B, Sagi D

机构信息

Department of Neurobiology, Brain Research, Weizmann Institute of Science, Rehovot, Israel.

出版信息

Vision Res. 1995 Mar;35(6):853-66. doi: 10.1016/0042-6989(94)00173-j.

Abstract

A model for perceptual grouping based on measurements of spatial correlations is proposed and tested. Gestalt-like grouping experiments were performed to study and quantify the effect of element similarity (shape, luminance) and proximity. Observers reported the horizontal or vertical organization of stimuli with proximity and similarity providing conflicting grouping cues. Proximity grouping was found to be perceived much faster than similarity grouping. However, with increasing processing time, similarity was found to dominate grouping. The experimental results can be accounted for by assuming a process that compares horizontal and vertical intensity autocorrelations. The model suggests that correlations are measured across a limited spatial range, and that this range increases with processing time.

摘要

提出并测试了一种基于空间相关性测量的知觉分组模型。进行了类似格式塔的分组实验,以研究和量化元素相似性(形状、亮度)和接近度的影响。观察者报告了刺激的水平或垂直组织,其中接近度和相似性提供了相互冲突的分组线索。发现接近度分组比相似性分组被感知得快得多。然而,随着处理时间的增加,发现相似性在分组中占主导地位。通过假设一个比较水平和垂直强度自相关的过程,可以解释实验结果。该模型表明,相关性是在有限的空间范围内测量的,并且这个范围随着处理时间的增加而增大。

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