Title :
Human and machine recognition of Fourier-Bessel filtered face images
Author :
Zana, Yossi ; Cesar, Roberto M., Jr. ; Mena-Chalco, Jesus P.
Author_Institution :
Dept. of Comput. Sci., Sao Paulo Univ.
Abstract :
Motivated by a recently proposed biologically-inspired face recognition approach, psychophysical experiments have been carried out. We measured recognition performance of polar frequency filtered face images using an 8-alternatives forced-choice method. Test stimuli were generated by converting the images from the spatial to the polar frequency domain using the Fourier-Bessel transformation (FBT), filtering of the resulting coefficients with band-pass filters, and finally taking the inverse FBT of the filtered coefficients. We also evaluated an automatic FBT-based face recognition model. Contrast sensitivity functions of the human observers peaked in the 8-11.3 radial and angular frequency range, with higher peak sensitivity in the former case. The automatic face recognition algorithm presented similar behavior. These results suggest that polar frequency components could be used by the human face processing system and that human performance can be constrained by the polar frequency information content
Keywords :
Fourier transforms; band-pass filters; face recognition; Fourier-Bessel filtered face images; automatic face recognition algorithm; band-pass filters; human face processing system; machine recognition; polar frequency domain; psychophysical experiments; Band pass filters; Face recognition; Flyback transformers; Force measurement; Frequency measurement; Humans; Image converters; Image recognition; Psychology; Testing;
Conference_Titel :
Automatic Face and Gesture Recognition, 2006. FGR 2006. 7th International Conference on
Conference_Location :
Southampton
Print_ISBN :
0-7695-2503-2
DOI :
10.1109/FGR.2006.66