Survey in computer recognition technologies of faces
Sang Ai-jun · Journal of Changchun Post and Telecommunication Institute · 2003
The history and the current status of computer recognition technologies of faces are introduced briefly. Then, several dominate methods using Eigen face (PCA), optimal discriminant vectors (based on Fisher criterion and based on Foley-Sammon transformation), Bayesian face, invariant Fourier features and elastic graph matching are discussed. Meanwhile, the principles and the newest states of these methods are given. Follow which are some computer recognition technologies of faces in other direction. At last, we give some performance evaluation criterion such as ratio of correct recognition, time of computing, quantities of data storage and performance of expanding, and according to those performance evaluation criterion analyses and evaluate a variety of computer recognition technologies of faces. Discussion show that based on Fisher criterion method, Bayesian face method and based on invariant Fourier features method give better performance, and can be practicable.