Cui Bliss, Bex Peter
Department of Psychology, Northeastern University, Boston, Massachusetts, United States of America.
PLoS One. 2025 Sep 23;20(9):e0308675. doi: 10.1371/journal.pone.0308675. eCollection 2025.
Face identification is a critical activity of daily living that may be impaired by blur or distortions caused by vision loss or prosopometamorphopsia. In this study, we examine the face inversion effect as a benchmark for understanding how distortions impact the identification of upright and inverted faces. Bandpass-filtered noise (Fpeak@1-32 cycles/face) was used to generate pixel shifts to distort calm and neutral faces from a standardized face database. The amplitude of distortion was varied using an adaptive staircase. 8 normally sighted subjects were given unlimited time to identify which of 4 distorted faces matched the identity of an undistorted reference face, each presented in a 6.5°-9.8° ellipse in a 2*2 grid. Image cues were removed from each face by equalizing them to the luminance distribution and chrominance of the average face. There was a significant interaction between face orientation and distortion frequency (F5,35 = 2.72, p = 0.0354), where sensitivity as a function of distortion frequency monotonically increased for inverted faces but was asymetrically U-shaped with a vertex at 4-8 cycles/face for upright faces. For upright faces, thresholds were lowest at mid spatial frequencies, with significant differences (p < 0.05) observed at the highest frequencies (16 and 32 cpi), supporting an asymmetric U-shaped tuning profile. In contrast, thresholds for inverted faces increased progressively across spatial frequencies, consistent with a monotonic trend. These results suggest that upright face recognition is most impacted by distortions at mid frequencies, whereas inverted face recognition declines more linearly as spatial frequency increases. The peak distortion frequency is correlated with the distance between the eyes, consistent with a critical role for eye geometry in upright face identification. These results suggest that the face inversion effect for distortion is selective for high-frequency bands.
面部识别是日常生活中的一项关键活动,可能会因视力丧失或人面变形症引起的模糊或扭曲而受损。在本研究中,我们将面部倒置效应作为一个基准,以了解扭曲如何影响正立和倒置面部的识别。使用带通滤波噪声(Fpeak@1-32 周期/面部)来生成像素偏移,以扭曲来自标准化面部数据库的平静和中性面部。使用自适应阶梯法改变扭曲的幅度。8 名正常视力的受试者被给予无限时间来识别 4 张扭曲面部中哪一张与未扭曲的参考面部的身份匹配,每张面部以 6.5°-9.8°椭圆的形式呈现在 2*2 网格中。通过将每张面部的亮度分布和色度与平均面部的亮度分布和色度进行均衡,去除了每张面部的图像线索。面部方向和扭曲频率之间存在显著的交互作用(F5,35 = 2.72,p = 0.0354),其中作为扭曲频率函数的敏感度对于倒置面部单调增加,但对于正立面部呈不对称的 U 形,顶点在 4-8 周期/面部。对于正立面部,阈值在中等空间频率处最低,在最高频率(16 和 32 cpi)处观察到显著差异(p < 0.05),支持不对称的 U 形调谐曲线。相比之下,倒置面部的阈值在空间频率上逐渐增加,与单调趋势一致。这些结果表明,正立面部识别受中等频率扭曲的影响最大,而倒置面部识别随着空间频率的增加下降得更线性。峰值扭曲频率与两眼之间的距离相关,这与眼睛几何形状在正立面部识别中的关键作用一致。这些结果表明,扭曲的面部倒置效应在高频带具有选择性。