Effects of high-pass and low-pass spatial filtering on face identification
Effects of high-pass and low-pass spatial filtering on face identification
复制标题
DOI：
10.3758/bf03213093
复制
发表时间：
1996-05-01
期刊：
影响因子：
--
通讯作者：
Craw, I
中科院分区：
文献类型：
--
作者：
Costen, NP;Parker, DM;Craw, I
如果人脸图像通过块平均而退化，则随着块大小的增加，识别精度会出现非线性下降，这表明识别需要对象空间频率的关键最小范围。人脸识别采用保持相同信息的等效傅里叶低通滤波和块平均以及高通变换。在实验1中，随着空间频率范围的缩小，所有情况下的准确度都以显著的非线性方式下降，反应时间以显著的非线性增加。然而，对于量化和高通的图像，它这样做的速度更快。第二个实验控制了高通人脸对比度的差异，发现随着空间频率范围的缩小，性能下降有所减少，但显着和非线性。这些数据表明，每个面孔大约8-16个周期的空间频率带优先支持面孔识别；对比度或基于线条的解释被发现是不充分的。根据现有的人脸识别模型对这些数据进行了讨论。
If face images are degraded by block averaging, there is a nonlinear decline in recognition accuracy as block size increases, suggesting that identification requires a critical minimum range of object spatial frequencies. The identification of faces was measured with equivalent Fourier low-pass filtering and block averaging preserving the same information and with high-pass transformations. In Experiment 1, accuracy declined and response time increased in a significant nonlinear manner in all cases as the spatial-frequency range was reduced. However, it did so at a faster rate for the quantized and high-passed images. A second experiment controlled for the differences in the contrast of the high-pass faces and found a reduced but significant and nonlinear decline in performance as the spatial-frequency range was reduced. These data suggest that face identification is preferentially supported by a band of spatial frequencies of approximately 8-16 cycles per face; contrast or line-based explanations were found to be inadequate. The data are discussed in terms of current models of face identification.