Biology – Quantitative Biology – Neurons and Cognition
Scientific paper
2006-12-01
Biology
Quantitative Biology
Neurons and Cognition
10 pages
Scientific paper
Psychophysical studies suggest that face recognition takes place in a narrow band of low spatial frequencies (``critical band''). Here, we examined the recognition performance of an artificial face recognition system as a function of the size of the input images. Recognition performance was quantified with three discriminability measures: Fisher Linear Discriminant Analysis, non Parametric Discriminant Analysis, and mutual information. All of the three measures revealed a maximum at the same image sizes. Since spatial frequency content is a function of image size, our data consistently predict the range of psychophysical found frequencies. Our results therefore support the notion that the critical band of spatial frequencies for face recognition in humans and machines follows from inherent properties of face images.
Keil Matthias S.
Lapedriza Agata
Masip David
Vitria Jordi
No associations
LandOfFree
Face Recognition in the Machine Reveals Properties of Human Face Recognition does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Face Recognition in the Machine Reveals Properties of Human Face Recognition, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Face Recognition in the Machine Reveals Properties of Human Face Recognition will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-671902