ABSTRACT

The term Bayesian refers to the eighteenth century mathematician and theologian Thomas Bayes, who provided the first mathematical treatment of a non-trivial problem of Bayesian inference. The technique is basically based on matching of images for the purpose of detection using a probabilistic measure of similarity. The performance advantage of this technique over the Euclidean distance measure used in PCA has been established by the fact the measure does not exploit knowledge of critical variations. Detection of faces in both gray and color scene can be performed using the Bayes decision rule. Multiple face detection can also be performed using Bayesian approach.