Since research on face recognition began in the 1960's, the field has rapidly widened to automated face analysis including face detection, facial gesture recognition, and facial expression recognition.
Automated Face Analysis: Emerging Technologies and Research provides theoretical background to understand the overall configuration and challenging problem of automated face analysis systems, featuring a comprehensive review of recent research for the practical implementation of the analysis system. A must-read for practitioners and students in the field, this book provides understanding by systematically dividing the subject into several subproblems such as detection, modeling, and tracking of the face.
About the Author
Daijin Kim received the BS degree in electronic engineering from Yonsei University, Seoul, Korea, in 1981, and the MS degree in electrical engineering from the Korea Advanced Institute of Science and Technology(KAIST), Taejon, 1984. In 1991, he received the PhD degree in electrical and computer engineering from Syracuse University, Syracuse, NY. During 1992 1999, he was an Associate Professor in the Department of Computer Engineering at DongA University, Pusan, Korea. He is currently a Professor in the Department of Computer Science and Engineering at POSTECH, Pohang, Korea. His research interests include intelligent systems, biometrics, and Human Computer Interaction.
Jaewon Sung received his BS degree in computer engineering from Chungnam National University, Taejeon, Korea (2000) and his MS and PhD degrees in computer science and engineering from Pohang University of Science and Technology (POSTECH), Pohang, Korea (2002 and 2007, respectively). He was a postdoctoral researcher at POSTECH in 2007. He is currently a senior research engineer of LG electronics, Korea. His research interests include pattern recognition, machine vision, and video compression and coding.
