Human and Machine Recognition of Fourier-Bessel Filtered Face Images

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 8alternatives 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 hu

• Type: Conference
• Year: 2006
• Where: FGR
• Authors: Yossi Zana, Roberto Marcondes Cesar Junior, Jesus P. Mena-Chalco
• Keywords: Face Recognition, Face Recognition Approach, FGR 2006, Polar Frequency