Kim Juno, Tan Kairen, Chowdhury Nahian S
School of Optometry and Vision Science, University of New South Wales, Australia.
Iperception. 2016 Jul 14;7(4):2041669516658047. doi: 10.1177/2041669516658047. eCollection 2016 Jul-Aug.
We experience vivid percepts of objects and materials despite complexities in the way images are structured by the interaction of light with surface properties (3D shape, albedo, and gloss or specularity). Although the perception of gloss (and lightness) has been argued to depend on image statistics (e.g., sub-band skew), studies have shown that perceived gloss depends critically on the structure of luminance variations in images. Here, we found that separately adapting observers to either positive or negative skew generated declines in perceived gloss, contrary to the predictions of theories involving image statistics. We also found similar declines in perceived gloss following adaptation to contours geometrically correlated with sharp specular edges. We further found this aftereffect was stronger when contour adaptors were aligned with specular edges compared with adaptation to the same contours rotated by 90°. These findings support the view that the perception of gloss depends critically on the visual system's ability to encode specular edge structure and not image skew.
尽管光与表面特性(三维形状、反照率以及光泽度或镜面反射)相互作用构建图像的方式很复杂,但我们仍能清晰地感知物体和材料。虽然有人认为光泽(以及明度)的感知取决于图像统计数据(例如子带偏斜),但研究表明,感知到的光泽度关键取决于图像中亮度变化的结构。在这里,我们发现,分别让观察者适应正偏斜或负偏斜会导致感知到的光泽度下降,这与涉及图像统计数据的理论预测相反。我们还发现,在适应与锐利镜面边缘几何相关的轮廓后,感知到的光泽度也有类似下降。我们进一步发现,与适应旋转90°的相同轮廓相比,当轮廓适应器与镜面边缘对齐时,这种后效应更强。这些发现支持了这样一种观点,即光泽度的感知关键取决于视觉系统编码镜面边缘结构的能力,而不是图像偏斜。