IAPR/IEEE Winter School on Biometrics 2017 was Successfully Held in HKBU

9 Mar 2017

The IAPR/IEEE Winter School on Biometrics 2017 (WSB2017) was held at Hong Kong Baptist University on 9-13 January, 2017. Jointly organized by the Department of Computer Science, Hong Kong Baptist University and the Institute of Automation, Chinese Academy of Sciences, the winter school attracted 50 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
  • Dr. Jian Jiang Feng of the Tsinghua University, China;
  • Prof. Jaihie Kim of Yonsei University, Korea;
  • Prof. Ajay Kumar of the Hong Kong Polytechnic University, Hong Kong;
  • Prof. Brian Lovell of the University of Queensland, Australia;
  • Dr. Chen-change Loy of the Chinese University of Hong Kong;
  • Dr. Norman Poh of University of Surrey, UK;
  • Dr. Terence Sim of National University of Singapore, Singapore;
  • Dr. 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. Liang Wang of Chinese Academy of Sciences, China;
  • Dr. Yi Wang of Hong Kong Baptist University, Hong Kong;
  • 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;
  • Prof. Weishi Zheng of Sun Yat-sen University, China
delivered lectures on:
  • Fingerprint Recognition
  • Mobile Biometrics: Trends and Issues
  • Accurate Personal Identification using Finger Knuckle and Finger Vein Biometric Images
  • Secure Scalable CCTV, Mobile, and Wearable Video Face Recognition
  • Deep Learning in Face Analysis
  • Multimodal Biometrics with Auxiliary Information: Quality, User-specific, Cohort information and beyond
  • Soft Biometrics and Continuous Authentication
  • Recent Progress of Iris Recognition
  • Biometric Data Analysis
  • 2D and 3D Face Recognition
  • Human Identification via Gait Recognition
  • Biometric Indexing
  • Human Gait Analysis
  • Face Recognition System Security: Template Protection and Anti-spoofing
  • Hand-Based Biometrics; and
  • Machine Learning for Person Identification

The lectures sparked plentiful interaction between the speakers and the audience. Overwhelmingly positive comments are received.

More details at: http://www.comp.hkbu.edu.hk/wsb17/