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光泽度感知及其瞳孔反应。

Glossiness perception and its pupillary response.

机构信息

Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan.

Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan.

出版信息

Vision Res. 2024 Jun;219:108393. doi: 10.1016/j.visres.2024.108393. Epub 2024 Apr 4.

Abstract

Recent studies have revealed that pupillary response changes depend on perceptual factors such as subjective brightness caused by optical illusions and luminance. However, the manner in which the perceptual factor that is derived from the glossiness perception of object surfaces affects the pupillary response remains unclear. We investigated the relationship between the glossiness perception and pupillary response through a glossiness rating experiment that included recording the pupil diameter. We prepared general object images (original) and randomized images (shuffled) that comprised the same images with randomized small square regions as stimuli. The image features were controlled by matching the luminance histogram. The observers were asked to rate the perceived glossiness of the stimuli presented for 3,000 ms and the changes in their pupil diameters were recorded. Images with higher glossiness ratings constricted the pupil size more than those with lower glossiness ratings at the peak constriction of the pupillary responses during the stimulus duration. The linear mixed-effects model demonstrated that the glossiness rating, image category (original/shuffled), variance of the luminance histogram, and stimulus area were most effective in predicting the pupillary responses. These results suggest that the illusory brightness obtained by the image regions of high-glossiness objects, such as specular highlights, induce pupil constriction.

摘要

最近的研究表明,瞳孔反应的变化取决于知觉因素,例如由视错觉和亮度引起的主观亮度。然而,源自物体表面光泽感知的知觉因素如何影响瞳孔反应尚不清楚。我们通过包括记录瞳孔直径的光泽度评价实验来研究光泽度感知和瞳孔反应之间的关系。我们准备了一般物体图像(原始)和随机化图像(打乱)作为刺激,其中包含具有随机小正方形区域的相同图像。通过匹配亮度直方图来控制图像特征。要求观察者对呈现的刺激进行 3000 毫秒的光泽度评价,并记录其瞳孔直径的变化。在刺激持续时间内瞳孔反应的峰值收缩期间,光泽度评价较高的图像会比光泽度评价较低的图像收缩瞳孔尺寸。线性混合效应模型表明,光泽度评价、图像类别(原始/打乱)、亮度直方图的方差和刺激区域对瞳孔反应的预测最有效。这些结果表明,高光泽度物体(如镜面高光)的图像区域产生的虚幻亮度会引起瞳孔收缩。

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