Face Recognition

Face recognition has been one of the most interesting and important research fields in the past two decades. The reasons come from the need of automatic recognitions and surveillance systems, the interest in human visual system on face recognition, and the design of human-computer interface, etc. These researches involve knowledge and researchers from disciplines such as neuroscience, psychology, computer vision, pattern recognition, image processing, and machine learning, etc. A bunch of papers have been published to overcome difference factors (such as illumination, expression, scale, pose, ......) and achieve better recognition rate, while there is still no robust technique against uncontrolled practical cases which may involve kinds of factors simultaneously. In this report, we’ll go through general ideas and structures of recognition, important issues and factors of human faces, critical techniques and algorithms, and finally give a comparison and conclusion. Readers who are interested in face recognition could also refer to published surveys [1-3] and website about face recognition [4]. To be announced, this report only focuses on color-image-based (2D) face recognition, rather than video-based (3D) and thermal-image-based methods. Table of content: (1) Introduction to face recognition: Structure and Procedure (2) Fundamental of pattern recognition (3) Issues and factors of human faces (4) Techniques and algorithms on face detection (5) Techniques and algorithms on face feature extraction and face recognition (6) Comparison and Conclusion