ABSTRACT
In this chapter the state-of-the-art face detection and recognition
algorithms are reviewed. Several classical face detection approaches
including AdaBoost, Gabor neural network, neural network, rank
deficiency, and SNoW are introduced. Their performance is evalu-
ated against a publicly accessible database. The evaluation results
demonstrate that SNoW algorithm has the best accuracy while
AdaBoost is the fastest face detector. Afterwards, face recognition
algorithms, i.e., Eigenface, Fisherface, and Tensorface algorithms are
summarized and evaluated over publicly available face databases.
