The IAPR/IEEE Winter School on Biometrics 2018 (WSB2018) was held in Shenzhen on 29 January to 2 February, 2018. Jointly organized by the Department of Computer Science, Hong Kong Baptist University, the Institute of Automation, Chinese Academy of Sciences and College of Computer Science and Software Engineering, Shenzhen University, the winter school attracted 90 participants, including professors and senior postgraduate students from world-wide tertiary institutions.
The 5-day winter school included lectures, poster session and social programme. To consolidate the fundamental knowledge of biometrics and share the latest biometric development, the scope of the course is designed to cover the topics which mainly include mobile biometrics, anti-spoofing, template protection, and fundamental of different biometric modalities. Since the topics are relatively new and challenging, the course is conducted by internationally renowned experts from all over the world.
Sixteen world-class scholars, including
- Matteo Ferrara of University of Bologna, Italy;
- Julian Fierrez of Universidad Autónoma de Madrid, Spain;
- Ajay Kumar of the Hong Kong Polytechnic University, Hong Kong;
- Liang Li of Ant Financial, Alipay, China;
- Chen-change Loy of the Chinese University of Hong Kong, Hong Kong;
- Sébastien Marcel of Idiap and EPFL, Switzerland;
- Mark Nixon of University of Southampton, UK;
- Arun Ross of Michigan State University, USA;
- Zhenan Sun of Chinese Academy of Sciences, China;
- Prof. Tieniu Tan of Chinese Academy of Sciences, China;
- Prof. Massimo Tistarelli of University of Sassari, Italy;
- Prof. Dong Xu of the University of Sydney, Australia;
- Prof. Yasushi Yagi of Osaka University, Japan;
- Prof. P C Yuen of Hong Kong Baptist University, Hong Kong;;
- Prof. David Zhang of the Hong Kong Polytechnic University, Hong Kong;
- Mark Nixon of University of Southampton, UK;
- Dr. Qijun Zhao of Sichuan University and Wisesoft Co., Ltd., China
delivered lectures on:
- Fingerprint Recognition
- Signature Biometrics and Forensics
- Biometrics Identification from Ocular Images using Deep Learning
- Biometrics Applications in Ant Financial
- Deep Learning in Face Analysis
- Biometric Spoofing and Anti-Spoofing aka Presentation Attack Detection
- Gait and Soft Biometrics
- Fusion and Privacy in Biometrics
- Iris Recognition
- Biometric Data Analysis
- Face Recognition: Past, Present and Future
- Machine Learning for Biometrics
- Gait Analysis
- Face Biometrics System Security
- Facial Multi-Characteristics and Applications; and
- 3D Face Reconstruction Towards Practical 3D-Assisted Face Recognition
The lectures sparked plentiful interaction between the speakers and the audience. Overwhelmingly positive comments are received.
More details at: https://www.comp.hkbu.edu.hk/wsb18/
