Bayesian face recognition and perceptual narrowing in face-space

Bayesian face recognition

We propose a new technique for direct visual matching of images for the purposes of face recognition and image retrieval, using a probabilistic measure of similarity, based primarily on a Bayesian (MAP) analysis of image di!erences. The performance advantage of this probabilistic matching technique over standard Euclidean nearest-neighbor eigenface matching was demonstrated using results from D...

Face-space Models of Face Recognition

Perceptual learning in face processing: comparison facilitates face recognition.

Theoretical analyses of perceptual learning suggest that comparison between similar stimuli aids subsequent discrimination between them. The current studies examined whether the opportunity to compare a target face to other similar faces during a preexposure phase facilitated performance on a matching task. Performance was better when the target face had been presented in alternation with simil...

Face Recognition in Fourier Space

This paper describes a simple face recognition system based on an analysis of faces via their Fourier spectra. Recognition is done by finding the closest match between feature vectors containing the Fourier coefficients at selected frequencies. The introduced method compares favourably to three other competing approaches implemented on the same database.

Biometrics Project: Bayesian Face Recognition

This project is to implement a 2D face recognition algorithm proposed in [2], which models the density of intrapersonal and extrapersonal face space separately with a single Gaussian for each, and thus uses Bayesian theory to do classification. It includes both maximum a posteriori (MAP) and maximum likelihood (ML) decision. Besides, we will try two improvements: one is to use Gaussian Mixture ...