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Influences of Global and Local Features on Eye-Movement Patterns in Visual-Similarity Perception of Synthesized Texture Images
Applied Sciences ( IF 2.838 ) Pub Date : 2020-08-11 , DOI: 10.3390/app10165552
Xiaoying Guo , Liang Li , Akira Asano , Chie Muraki Asano

Global and local features are essential for visual-similarity texture perception. Therefore, understanding how people allocate their visual attention when viewing textures with global or local similarity is important. In this work, we investigate the influences of global and local features of a texture on eye-movement patterns and analyze the relationship between eye-movement patterns and visual-similarity selection. First, we synthesized textures by separately controlling global and local textural features through the primitive, grain, and point configuration (PGPC) texture model, a mathematical morphology-based texture model. Second, we conducted an experiment to acquire eye-movement data where participants identified the texture that was highly similar to the standard texture. Experiment data were obtained through an eye-tracker from 60 participants. The collected eye-tracking data were analyzed in terms of three metrics, including total fixation duration in each region of interest (ROI), fixation-point variance in each ROI, and fixation-transfer counts between different ROIs. Analysis results indicated the following. (1) The global and local features of a texture influenced eye-movement patterns. In particular, the texture image that was globally similar to the standard texture contained dispersed fixation points. By contrast, the texture image that was locally similar to the standard texture contained concentrated fixation points. The domination of global and local features influenced the viewers’ similarity choice. (2) The final visual-similarity selection was related to the fixation-transfer count between different ROIs, but not to the fixation time in each ROI. This research also extends the applicability of the mathematical morphology-based texture model to human visual perception.

中文翻译:

全局和局部特征对合成纹理图像视觉相似性感知中眼动模式的影响

全局和局部特征对于视觉相似纹理感知至关重要。因此,了解人们在查看具有全局或局部相似性的纹理时如何分配视觉注意力非常重要。在这项工作中,我们调查了纹理的全局和局部特征对眼动模式的影响,并分析了眼动模式与视觉相似性选择之间的关系。首先,我们通过原始,纹理和点配置(PGPC)纹理模型(一种基于数学形态学的纹理模型)分别控制全局和局部纹理特征来合成纹理。第二,我们进行了一项实验,以获取眼动数据,参与者可以识别出与标准纹理高度相似的纹理。通过眼动仪从60名参与者中获得了实验数据。根据三个指标对收集的眼动数据进行了分析,包括每个关注区域(ROI)的总注视时间,每个ROI中的注视点差异以及不同ROI之间的注视转移次数。分析结果表明如下。(1)纹理的全局和局部特征影响了眼睛的运动模式。特别地,总体上类似于标准纹理的纹理图像包含分散的固定点。相反,局部类似于标准纹理的纹理图像包含集中的固定点。全球和本地特征的统治影响了观众的相似性选择。(2)最终的视觉相似性选择与不同ROI之间的注视转移次数有关,但与每个ROI中的注视时间无关。这项研究还将基于数学形态学的纹理模型的适用性扩展到了人类的视觉感知。
更新日期:2020-08-11
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