Face detection

Author: Huang Fuzhen
Publisher:
Publish Date: 2006-04-01
Features: Research on face detection holds significant academic value. A face is a natural structural target with considerably complex detailed variations. The challenges in dealing with such targets lie in: faces exhibit pattern variability due to differences in appearance, expression, and skin color; in general, faces may have accessories like glasses or beards; as three-dimensional objects, facial images are inevitably affected by shadows caused by lighting. Therefore, if methods to address these issues can be found and a successful face detection system can be constructed, it will provide important insights for solving other similar complex pattern detection problems. This book provides a comprehensive and systematic introduction to the fundamental problems, research approaches, methods, classical algorithms, and techniques in face detection. It focuses on the author's research achievements in using active contour model methods for face detection and points out the future development directions in this field. It can serve as a reference book for graduate students, senior undergraduate students, and a broad range of science and technology workers and engineering technicians in research institutions and related organizations. The book first provides an in-depth and systematic introduction to the fundamental problems, research approaches, methods, classical algorithms, and techniques in face detection, then focuses on the author's research achievements in using active contour model methods for face detection, and finally points out the future development directions in this field. The book can serve as a reference book for graduate students, senior undergraduate students, and a broad range of science and technology workers and engineering technicians in research institutions and related organizations.