CVPR 2022 Biometrics Workshop

With a very security conscious society, biometrics based authentication and identification have become center of focus for many important applications as it is believed that biometrics can provide accurate and reliable identification. Biometrics research and technology continue to mature rapidly, driven by pressing industrial and government needs and supported by industrial and government funding. As the number and types of biometrics architectures and sensors increases, the need to disseminate research results increases as well. This workshop is intended to be positioned at the frontier of biometrics research and showcase the most excellent and advanced work underway at academic and private research organizations as well as government labs.

Many of the applications require higher level of accuracy performance not feasible with a single biometrics today. Additionally, it is also believed that fusing multiple biometrics will also improve wider coverage of population who may not be able to provide a single biometrics and also improve security of the systems in terms of spoof attacks. This workshop will address all aspects of research issues in different modes and levels of fusion of biometrics samples, sensing modes and modalities with a sole goal of improving performance of biometrics. Theoretical studies on sensor fusion techniques applied to biometrics authentication, recognition and performance are encouraged. The topics of interest are:

Overall Meeting Sponsors

General Chair: Bir Bhanu (University of California, Riverside, bbhanu@ucr.edu)

Program Chair: Ajay Kumar (The Hong Kong Polytechnic University, Ajay.Kumar@polyu.edu.hk)

• Christoph Busch, Hochschule Darmstadt, Germany
• Karthik Nandakumar, MBZUAI, United Arab Emirates
• Koichi Ito, Tohuku University, Japan
• Kevin Ho Man Cheng, University of Oulu, Finland
• Maneet Singh, AI Garage, Master Card, India
• Maria De Marsico, Sapienza University of Rome, Italy
• Massimo Tistarelli, University of Sassari, Italy
• Qijun Zhao, Sichuan University, China
• Shiqi Yu, Southern University of Science and Technology, China
• Siqi Yang, ByteDance, China
• Vivek Kanhangad, IIT Indore, India
• Zhenan Sun, NLPR, CASIA, China

Paper submission: March 11, 2022 (11:59pm PST) Decisions: April 12, 2022 Camera ready papers due: April 18, 2022

Workshop Date: June 19, 2022

Title of the Talk: Recognizing Human Identity, Age, and Aesthetic Attributes from Gait Speaker: Yasushi Makihara, Osaka University, Japan Abstract: Gait, i.e., a way of walking, is considered as one of behavioral biometrics and contains a variety of information such as identity, age, gender, disease/health status, and aesthetic attribute. Particularly, gait-based person identification, i.e., gait recognition has been extensively studied for the last two decades because the gait can be recognized even at a distance from a camera without subjects' cooperation, unlike the other biometrics such as DNA, fingerprint, vein, and iris. The gait recognition is therefore expected to be applied to the criminal investigation, forensic science, and surveillance using CCTV footage. However, the absence of the subjects' cooperation may sometimes induce large intra-subject variations of the gait due to the changes of viewpoints, walking directions, speeds, clothes, and shoes. In this talk, I will introduce a recent progress of our studies on gait recognition robust against the above-mentioned covariates. Moreover, some other applications of the video-based gait analysis will be also introduced, including but not limited to age and gender estimation, medical or health status estimation, and aesthetic attribute estimation.

Title of the Talk: Global ID: Biometrics for Billions of Identities Speaker: Sharath Pankanti, Microsoft, UDA (work done with Anil K. Jain, Karthik Nandakumar, Salil Prabhakar, Sunpreet S. Arora, Anoop M. Namboodiri, and Arun Ross) Abstract: The world’s population, which is currently estimated to be nearly eight Billion, is very likely to surpass 10 Billion by the turn of the century. While there are several challenges when dealing with a population of this magnitude, the ability to positively establish or refute an individual’s identity is likely to be one of the fundamental expectations of a global society. In this presentation, we systematically discuss the issues impacting the design, implementation and deployment of a large-scale biometric identification system that can effectively manage and distinguish over 10 Billion identities. In this regard, we identify four technological issues that have to be satisfactorily resolved to design such a system: system scalability, identification accuracy, response time, template security and privacy. We discuss how the lessons learned from ongoing large-scale biometric systems such as UAE’s Border Crossing System and India’s National ID Card Program (Aadhaar) can be leveraged and incorporated into a Global ID system that handles 10B identities. Further, we study existing large-scale pattern recognition and machine learning systems, and determine how the challenges resident in such systems can be effectively addressed for use in the proposed Global ID system. Finally, we assess the gaps that need to be addressed by the research and development community-at-large for designing the Global ID system. We conclude that the outstanding research, engineering and design topics are “Grand Challenges” and, without a serious understanding of the underlying complex issues, simplistic identity infrastructure solutions will be dwarfed by the enormity of the identity problems of the next generation.

Title of the Talk: Face Presentation Attack Detection Speaker: PC Yuen, Hong Kong Baptist University, Hong Kong Abstract: Face recognition technology has been successfully deployed in many practical applications in the past two decades, ranging from law enforcement to e-payment on mobile phones. While face recognition for person authentication offers great convenience, face biometrics system security is not fully addressed. In this talk, I will discuss the challenges of face presentation attack detection and briefly review the existing methods. After that, I will share our recent works on 3D mask presentation attack detection (PAD), generalized face PAD, and federated learning-based PAD. Finally, I will also discuss current research problems in PAD.

1. All the submissions will be subjected to double-blind review process. Therefore author names, affiliations, email addresses, personal acknowledgements, etc. should be removed from the paper. Please use the submission template [Latex] [MS-Word].
2. The submissions can be up to 8 pages (excluding references) during the review process.
3. All the papers must be submitted in IEEE format using the templates provided. Submitted papers should not have been published, accepted or under review elsewhere.
4. All the papers accepted for the biometrics workshop must be presented by one of the authors, and at least one of the authors must register at the standard registration rate before the paper registration deadline. If any accepted paper is not presented by any of the registered co-authors of this paper, it will be recommended for withdrawal from the IEEE Xplore proceedings and no communication will be sent to any of the co-authors.
5. Authors are required by the IEEE to transfer copyrights for any papers to be published in the conference proceedings. This is performed at the time when the camera ready version is submitted for production. If a paper is withdrawn from the proceedings, copyright gets reverted to the authors.
6. All the papers should be submitted using CMT at https://cmt3.research.microsoft.com/BioMetCVPR2022

Two contests will be held during the workshop. Details about them are given at the following links.

• CVPR2022 Biometrics Workshop Pet Biometric Challenge: Link
• CVPR2022 Biometrics Workshop - Image Forgery Detection Challenge: Link

TBD

New Orleans, Louisiana

Bir Bhanu Email: bbhanu@ucr.edu

Ajay Kumar Email: Ajay.Kumar@polyu.edu.hk