Deep Learning-Based Face Analytics
暫譯: 基於深度學習的人臉分析

本書提供了基於深度學習的臉部識別及相關問題的不同方法概述。具體而言，作者介紹了基於自編碼器（autoencoders）、限制玻爾茲曼機（restricted Boltzmann machines）和深度卷積神經網絡（deep convolutional neural networks）的方法，用於臉部檢測、定位、追蹤、識別等。作者還討論了現有方法的優缺點，並指出了在這個快速發展的領域中有前景的研究方向。

儘管文獻中已提出多種基於深度學習方法的臉部識別不同方法，但目前尚無一本書能夠全面概述這些方法。本書捕捉了使用各種深度學習方法的臉部識別的最新技術，並涵蓋了與臉部識別相關的多種主題。

本書的目標讀者為學習電機工程和/或計算機科學的研究生。生物識別技術（biometrics）是許多全球機構在本科和研究生階段廣泛開設的課程：本書可作為教授與臉部識別相關主題的教科書。此外，這項工作對於在行業中從事生物識別相關問題的實務工作者也有益處。為了最佳使用本書，讀者需具備模式識別、機器學習、概率論和線性代數的基本知識。

Nalini K. Ratha is Empire Innovation professor in the Department of Computer Science and Engineering at University at Buffalo (New York). Before joining UB, he was Research Staff Member at IBM T. J. Watson Research Center, Yorktown Heights, NY. He received his Ph.D. in Computer Science from Michigan State University, East Lansing, MI, B. Tech. in Electrical Engineering, and M. Tech. in Computer Science and Engineering from Indian Institute of Technology, Kanpur. Nalini is Fellow of IEEE and IAPR. He received the Biometrics Council Leadership Award in 2019 and served as the President of the IEEE Biometrics Council in 2011-2012. At IBM Research, he was designated as IBM Research Master Inventor in 2018 and received two IBM Research Division awards, an IBM Outstanding Technical Achievement Award, and an IBM Outstanding Innovation Award. He has served as Associate Editor for IEEE Trans. on PAMI, IEEE Trans. on SMC-B, IEEE Trans. on Image Processing and Journal of Pattern Recognition. He is co-author and co-editor, respectively, of the Springer books, Guide to Biometrics and Advances in Biometrics, and co-edited several other books. He has served as General and Program Co-Chair for many biometrics and AI-related conferences and workshops.

Vishal M. Patel is Assistant Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University (JHU). Prior to joining Hopkins, he was A. Walter Tyson Assistant Professor in the Department of ECE at Rutgers University and Member of the research faculty at the University of Maryland Institute for Advanced Computer Studies (UMIACS). He completed his Ph.D. in Electrical Engineering from the University of Maryland, College Park, MD, in 2010. He has received a number of awards including the 2016 ONR Young Investigator Award, the 2016 Jimmy Lin Award for Invention, A. Walter Tyson Assistant Professorship Award, Best Paper Award at IEEE AVSS 2017, Best Paper Award at IEEE BTAS 2015, Honorable Mention Paper Award at IAPR ICB 2018, two Best Student Paper Awards at IAPR ICPR 2018, and Best Poster Awards at BTAS 2015 and 2016. He is Associate Editor of the IEEE Signal Processing Magazine, and IEEE Biometrics Compendium, and serves on the Information Forensics and Security Technical Committee of the IEEE Signal Processing Society. He is Member of Eta Kappa Nu, Pi Mu Epsilon, and Phi Beta Kappa.

Rama Chellappa is Bloomberg Distinguished Professor in the Departments of Electrical and Computer Engineering and Biomedical Engineering at JHU. He is co-author and co-editor, respectively, of the Springer books, Unconstrained Face Recognition and Handbook of Remote Biometrics. At JHU, he is also affiliated with MINDS, CIS, and CLSP and the Malone Center for Engineering in Healthcare. He holds a non-tenure position as College Park Professor in the ECE department at University of Maryland (UMD). Before coming to JHU in August 2020, he was Distinguished University Professor, Minta Martin Professor of Engineering, Professor in the ECE department at the University of Maryland Institute Advanced Computer Studies. At UMD, he was also affiliated with the Center for Automation Research and the Department of Computer Science. From 1981-1991, he was Assistant and Associate Professor in the Department of EE-Systems at the University of Southern California. He received B.E. (Hons.) degree in Electronics and Communication Engineering from the University of Madras, India, in 1975 and M.E. (with distinction) degree from the Indian Institute of Science, Bangalore, India, in 1977. He received M.S.E.E. and Ph.D. degrees in Electrical Engineering from Purdue University, West Lafayette, IN, in 1978 and 1981, respectively. His current research interests are computer vision, machine learning, artificial intelligence, signal and image/video processing. Chellappa received an NSF Presidential Young Investigator Award, four IBM Faculty Development Awards, an Excellence in Teaching Award from the School of Engineering at USC, and several paper awards from Biometrics and Pattern Recognition conferences. He is a recipient of the 2020 IEEE Jack S. Kilby Signal Processing Medal. He is also a recipient of the K.S. Fu Prize from the International Association of Pattern Recognition (IAPR). He received the Society, Technical Achievement, and Meritorious Service Awards from the IEEE Signal Processing Society. He also received the Technical Achievement and Meritorious Service Awards from the IEEE Computer Society. Recently, he was recognized with the inaugural Leadership Award from the IEEE Biometrics Council. At UMD, he was elected as Distinguished Faculty Research Fellow, and as Distinguished Scholar-Teacher, and received three Outstanding Innovator Awards from the Office of Technology Commercialization, and an Outstanding GEMSTONE Mentor Award from the Honors College. He received the Outstanding Faculty Research Award and the Poole and Kent Teaching Award for Senior Faculty from the College of Engineering. In 2010, he was recognized as an Outstanding ECE by Purdue University. He also received the Distinguished Alumni Award from the Indian Institute of Science in 2016. He is Fellow of IEEE, IAPR, OSA, AAAS, ACM, and AAAI. He holds eight patents. Chellappa served as Editor-in-Chief of IEEE Transactions on Pattern Analysis and Machine Intelligence. He has served as General and Technical Program Chair for several IEEE international and national conferences and workshops. He is Golden Core Member of the IEEE Computer Society and served as Distinguished Lecturer of the IEEE Signal Processing Society. He served as the inaugural President of the IEEE Biometrics Council.

Nalini K. Ratha 是紐約州布法羅大學計算機科學與工程系的帝國創新教授。在加入布法羅大學之前，他曾是IBM T. J. Watson研究中心的研究成員，位於紐約州約克鎮高地。他在密西根州立大學獲得計算機科學博士學位，在印度理工學院坎普爾獲得電氣工程學士學位和計算機科學與工程碩士學位。Nalini 是IEEE和IAPR的會士。他於2019年獲得生物識別委員會領導獎，並在2011至2012年擔任IEEE生物識別委員會的主席。在IBM研究所，他於2018年被指定為IBM研究首席發明家，並獲得兩項IBM研究部門獎項，包括IBM傑出技術成就獎和IBM傑出創新獎。他曾擔任IEEE PAMI、IEEE SMC-B、IEEE影像處理期刊和模式識別期刊的副編輯。他是Springer書籍《生物識別指南》和《生物識別進展》的共同作者和共同編輯，並共同編輯了其他幾本書籍。他曾擔任多個與生物識別和人工智慧相關的會議和研討會的總主席和程序共同主席。

Vishal M. Patel 是約翰霍普金斯大學（JHU）電氣與計算機工程系的助理教授。在加入霍普金斯之前，他曾是羅格斯大學電氣與計算機工程系的A. Walter Tyson助理教授，以及馬里蘭大學高級計算研究所（UMIACS）的研究教職成員。他於2010年在馬里蘭大學（College Park）獲得電氣工程博士學位。他獲得了多項獎項，包括2016年ONR青年研究者獎、2016年Jimmy Lin發明獎、A. Walter Tyson助理教授獎、IEEE AVSS 2017最佳論文獎、IEEE BTAS 2015最佳論文獎、IAPR ICB 2018榮譽提名論文獎、IAPR ICPR 2018兩項最佳學生論文獎，以及BTAS 2015和2016的最佳海報獎。他是IEEE信號處理雜誌和IEEE生物識別彙編的副編輯，並在IEEE信號處理學會的信息取證與安全技術委員會中任職。他是Eta Kappa Nu、Pi Mu Epsilon和Phi Beta Kappa的成員。

Rama Chellappa 是約翰霍普金斯大學電氣與計算機工程系和生物醫學工程系的Bloomberg傑出教授。他是Springer書籍《無約束人臉識別》和《遠程生物識別手冊》的共同作者和共同編輯。在JHU，他還與MINDS、CIS和CLSP以及醫療保健工程馬龍中心有關聯。他在馬里蘭大學（UMD）的電氣與計算機工程系擔任非終身職位的College Park教授。在2020年8月加入JHU之前，他是馬里蘭大學高級計算研究所的傑出大學教授、Minta Martin工程教授和電氣與計算機工程系的教授。在UMD，他還與自動化研究中心和計算機科學系有關聯。從1981年到1991年，他在南加州大學的EE-Systems系擔任助理教授和副教授。他於1975年在印度馬德拉斯大學獲得電子與通信工程榮譽學士學位，1977年在印度班加羅爾的印度科學研究所獲得優異碩士學位。他於1978年和1981年在普渡大學獲得電氣工程碩士和博士學位。他目前的研究興趣包括計算機視覺、機器學習、人工智慧、信號和影像/視頻處理。Chellappa獲得了NSF總統青年研究者獎、四項IBM教職發展獎、南加州大學工程學院的卓越教學獎，以及多項生物識別和模式識別會議的論文獎。他是2020年IEEE Jack S. Kilby信號處理獎的獲得者，也是國際模式識別協會（IAPR）K.S. Fu獎的獲得者。他獲得了IEEE信號處理學會的社會、技術成就和優異服務獎，還獲得了IEEE計算機學會的技術成就和優異服務獎。最近，他獲得了IEEE生物識別委員會的首屆領導獎。在UMD，他被選為傑出教職研究員和傑出學者-教師，並獲得了技術商業化辦公室的三項卓越創新者獎，以及榮譽學院的卓越GEMSTONE導師獎。他獲得了工程學院的卓越教職研究獎和高年級教職的Poole和Kent教學獎。在2010年，他被普渡大學認定為卓越的電氣與計算機工程專家。他還於2016年獲得印度科學研究所的傑出校友獎。他是IEEE、IAPR、OSA、AAAS、ACM和AAAI的會士。他擁有八項專利。Chellappa曾擔任IEEE模式分析與機器智慧期刊的主編，並擔任多個IEEE國際和國內會議及研討會的總主席和技術程序主席。他是IEEE計算機學會的黃金核心成員，並擔任IEEE信號處理學會的傑出講者。他曾擔任IEEE生物識別委員會的首屆主席。