SUMMARY

This book summarizes the progress in the face recognition research field as well as the author’s research work. This book is divided into the following three parts.

Part I introduces the theory of computer vision and pattern recognition , which are the basis of face recognition research. Then it introduces face recognition research status and the major methods since the 1970s, as well as the main results and usage.

Part II describes the face recognition algorithm based on dual-attribute graph. This algorithm adopts facial feature detection, PCA method and Gabor function to construct facial feature recognition and attributes matching method, and it can combine the face image local features and global features, so it can effectively use the information in face image shoot which is projected from three-dimension to two-dimension.

Part III describes the face recognition system under dynamic scenes. This algorithm adopts face location, face recognition and video processing methods.

This book mainly focuses on researchers as well as graduated and high-grade college students, who are interested in pattern recognition. Readers of this book can systematically study the methods of face recognition and master the latest progress of this field.