Luminance edge is a cue for glossiness perception based on low-luminance specular components
Luminance edge is a cue for glossiness perception based on low-luminance specular components
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DOI：
10.1167/19.12.5
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发表时间：
2019-10-01
影响因子：
1.8
通讯作者：
Nagai, Takehiro
中科院分区：
文献类型：
--
作者：
Kiyokawa, Hiroaki;Tashiro, Tomonori;Nagai, Takehiro
视觉系统被认为使用来自物体图像的各种图像线索来感知其光泽度。据报道，令人惊讶的是，即使对于没有镜面高光的物体图像，我们也可以通过依赖低亮度镜面组件来感知光泽度（Kim, Marlow, & Anderson, 2012）。这种感性光泽度称为暗光泽度。然而，尚不清楚是否在各种物体上普遍观察到暗光泽，以及什么图像特征是暗光泽的线索。为了解决这些问题，我们进行了几个心理物理实验。首先，我们测量了一些具有自然镜面反射组件的计算机图形对象图像（Full条件）和那些没有高亮度镜面反射组件的图像（Dark条件）的感知光泽度。结果表明，在几乎所有的物体图像上都普遍观察到暗光泽（暗条件下的光泽度感知），但其强度在不同的图像上存在较大差异。然后，我们对刺激图像的亮度边缘数、反射图像的可识别性和一些高光相关特征进行了心理或计算测量，并用多元回归分析来研究它们与感知光泽度的关系。结果表明，在测量的特征中，亮度边缘数与光泽度分数的关系最为密切，只有在具有强暗光泽的目标图像中。这些结果表明，在一定的刺激条件下，亮度边缘是暗光泽的有效提示。
The visual system is considered to employ various image cues from an object image to perceive its glossiness. It has been reported that, surprisingly, even for object images without specular highlights we can perceive glossiness by relying on low-luminance specular components (Kim, Marlow, & Anderson, 2012). This type of perceptual glossiness is referred to as dark gloss. However, it is still unclear whether dark gloss is observed commonly across various objects, and what image features are cues for dark gloss. To address these issues, we performed several psychophysical experiments. First, we measured perceived glossiness for a number of computer-graphics object images with natural specular reflection components (Full condition) and for those without high-luminance components of specular reflections (Dark condition). The results showed that dark gloss (glossiness perception in the Dark condition) was generally observed on almost all object images, while its intensity was rather different across the images. Then we psychologically or computationally measured several image features for the stimulus images, such as luminance edge number, recognizability of reflection images, and some highlight-related features, to examine their relations to perceived glossiness with a multiple regression analysis. The results demonstrated that luminance edge number was most strongly related to glossiness scores among the measured features only for object images with potent dark gloss. These results suggest that luminance edges are an effective cue for dark gloss under certain stimulus conditions.