Figure 11.

Flowchart of the FIO simulation. For each fixation, the image is broken down into spatial bins, each having its own CSF depending on the bin's direction and distance from fixation. The image is filtered in the frequency domain and then reconstructed in the spatial domain, resulting in a spatially filtered image. For illustration purposes, here the fixation point is set at the center of image, and the face shown here was not used in actual experiments and modeling. FFT: Fast Fourier transform. IFFT: Inverse FFT. Reproduced with permission from figure 4B of Peterson, M. F., & Eckstein, M. P. (2012). Looking just below the eyes is optimal across face recognition tasks. Proceedings of the National Academy of Sciences of the United States of America, 109(48), E3314–E3323, doi:http://dx.doi.org/10.1073/pnas.1214269109.