Advances in Face Presentation Attack Detection

本書修訂並擴展了先前版本的《多模態人臉呈現攻擊檢測》。作者首先介紹了人臉欺騙攻擊檢測的基本和基礎資訊，解釋為何計算機視覺界在過去十年中對此進行了深入研究。作者還討論了使人臉反欺騙對於防止人臉識別系統安全漏洞至關重要的原因。此外，本書描述了設計有效的人臉呈現攻擊檢測方法所面臨的挑戰因素。書中對當前技術進行了全面的回顧和評估，並識別出在CVPR和ICCV的一系列ChaLearn人臉反欺騙挑戰中達到最高性能水平的方法。作者還強調了未來人臉反欺騙研究的方向，這將促進該領域的進步。本新版本中還包含了額外的分析、新的方法論以及更全面的解決方案調查。

Jun Wan (IEEE Senior Member), Ph.D., is an Associate Professor at the Chinese Academy of Sciences (CASIA) Institute of Automation, where he has been a faculty member since 2015. Dr. Wan earned his Ph.D. from Beijing Jiaotong University in 2015. He served as the Co-Editor for special issues in the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV), and the IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM). He is also an Associate Editor of IET Biometrics. He has been involved in the organization of several face anti-spoofing challenges in computer vision collocated with top venues. He has served as competition chair of CVPR2019, CVPR2020, ICCV2021, and CVPR2023. His research interests include computer vision including face analysis, gesture recognition, and sign language translation. Guodong Guo, Ph.D., is affiliated with West Virginia University. He earned his Ph.D. in computer science from the University of Wisconsin, Madison. Previously, he was the Head of the Institute of Deep Learning at Baidu Research. He has written and edited four books and published over 200 technical papers. Dr. Guo is an Associate Editor of IEEE Transactions on Affective Computing, Journal of Visual Communication and Image Representation, and serves on the editorial board of IET Biometrics. His research interests include computer vision, biometrics, machine learning, and multimedia.
Sergio Escalera, Ph.D., is a Full Professor with the Department of Mathematics and Informatics at Universitat de Barcelona. He earned his Ph.D. in multiclass visual categorization systems from the Computer Vision Center, UAB, where he is still a member. In addition, he leads the Human Pose Recovery and Behavior Analysis Group and is a Distinguished Professor with Aalborg University. Dr. Escalera serves as the Vice-President of ChaLearn Challenges in Machine Learning and as the chair of IAPR TC-12: Multimedia and Visual Information Systems. He co-created the Codalab open-source platform for challenges organization. He is also a Series Editor of The Springer Series on Challenges in Machine Learning. His research interests include automatic analysis of humans from visual and multimodal data, with special interest in inclusive, transparent, and fair affective computing and people characterization. Hugo Jair Escalante is a Senior Researcher Scientist at INAOE, Mexico, a membof the board of directors of ChaLearn USA, and Chair officer of the IAPR Technical Committee 12. er He is a regular member of the Mexican Academy of Sciences (AMC), the Mexican Academy of Computing (AMEXCOMP) and Mexican System of Researchers Level II (SNI). He was editor of the Springer Series on Challenges in Machine Learning 2017-2013 and is Associate Editor of IEEE Transactions on Affective Computing. He has been involved in the organization of several challenges in machine learning and computer vision collocated with top venues. He has served as competition chair of NeurIPS2020, FG2020 and ICPR2020, NeurIPS2019, PAKDD2019-2018, IJCNN2019. His research interests are on machine learning, challenge organization, and its applications on language and vision.
Stan Z. Li (IEEE Fellow, IAPR Fellow) is a Chair Professor of artificial intelligence at Westlake University. He received his Ph.D. degree from Surrey University, UK, in 1991. He was awarded Honorary Doctorate of Oulu University, Finland, in 2013. He was the director of the Center for Biometrics and Security Research (CBSR), Chinese Academy of Sciences, 2004 2019. He worked at Microsoft Research Asia as a Research Lead, 2000 2004. Prior to that, he was an associate professor (tenure) at Nanyang Technological University, Singapore. He joined Westlake University as a Chair Professor of Artificial Intelligence in February 2019. Stan Z. Li has published over 400 papers in international journals and conferences, authored, and edited 10 books, with over 60,000 Google Scholar citations. Among these are Markov Random Field Models in Image Analysis (Springer), Handbook of Face Recognition (Springer) and Encyclopedia of Biometrics (Springer). He served as an associate editor of IEEE Transactions on Pattern Analysis and Machine Intelligence and organized more than 100 international conferences or workshops. His current research interests include AI fundamental research and AI for sciences.

Jun Wan（IEEE 高級會員），博士，現任中國科學院自動化研究所（CASIA）副教授，自2015年以來一直擔任該校教職。Wan博士於2015年獲得北京交通大學的博士學位。他曾擔任《IEEE模式分析與機器智慧學報》（TPAMI）、《國際計算機視覺學報》（IJCV）及《IEEE生物識別、行為與身份科學學報》（TBIOM）特刊的共同編輯，並擔任IET Biometrics的副編輯。他參與了多個與頂尖會議共同舉辦的面部防欺騙挑戰的組織工作，並擔任CVPR2019、CVPR2020、ICCV2021及CVPR2023的競賽主席。他的研究興趣包括計算機視覺，特別是面部分析、手勢識別和手語翻譯。

Guodong Guo，博士，現任西維吉尼亞大學。他於威斯康辛大學麥迪遜分校獲得計算機科學博士學位。此前，他是百度研究院深度學習研究所的所長。他撰寫和編輯了四本書籍，並發表了超過200篇技術論文。Guo博士是《IEEE情感計算學報》、《視覺傳播與影像表現學報》的副編輯，並擔任IET Biometrics的編輯委員會成員。他的研究興趣包括計算機視覺、生物識別、機器學習和多媒體。

Sergio Escalera，博士，現任巴塞隆納大學數學與資訊系的全職教授。他在UAB計算機視覺中心獲得多類別視覺分類系統的博士學位，並仍然是該中心的成員。此外，他領導人類姿勢恢復與行為分析小組，並擔任奧爾堡大學的傑出教授。Escalera博士擔任ChaLearn機器學習挑戰的副總裁，以及IAPR TC-12：多媒體與視覺資訊系統的主席。他共同創建了Codalab開源平台以組織挑戰，並擔任《Springer機器學習挑戰系列》的系列編輯。他的研究興趣包括從視覺和多模態數據自動分析人類，特別關注包容性、透明性和公平的情感計算及人員特徵化。

Hugo Jair Escalante是墨西哥INAOE的高級研究科學家，ChaLearn USA董事會成員，並擔任IAPR技術委員會12的主席。他是墨西哥科學院（AMC）、墨西哥計算機學院（AMEXCOMP）及墨西哥研究人員系統二級（SNI）的正式成員。他曾擔任《Springer機器學習挑戰系列》的編輯（2013-2017），並是《IEEE情感計算學報》的副編輯。他參與了多個與頂尖會議共同舉辦的機器學習和計算機視覺挑戰的組織工作，並擔任NeurIPS2020、FG2020和ICPR2020、NeurIPS2019、PAKDD2019-2018、IJCNN2019的競賽主席。他的研究興趣包括機器學習、挑戰組織及其在語言和視覺上的應用。

Stan Z. Li（IEEE Fellow，IAPR Fellow）是西湖大學人工智慧的講座教授。他於1991年獲得英國薩里大學的博士學位，並於2013年獲得芬蘭奧盧大學的榮譽博士學位。他曾擔任中國科學院生物識別與安全研究中心（CBSR）主任（2004-2019），並於2000至2004年在微軟亞洲研究院擔任研究負責人。在此之前，他是新加坡南洋理工大學的副教授（終身職）。他於2019年2月加入西湖大學，擔任人工智慧講座教授。Stan Z. Li在國際期刊和會議上發表了超過400篇論文，撰寫和編輯了10本書籍，並擁有超過60,000的Google學術引用。