模式识别系列讲座
Lecture Series in Pattern Recognition 

题    目 （TITLE）：A Future of Biometrics

讲 座 人 （SPEAKER）: Mark Nixon 教授

主 持 人 (CHAIR)：董晶 研究员

时    间 (TIME)：2024年11月19日（周二），9:30

地    点 (VENUE)： 智能化大厦1610会议室

报告摘要（ABSTRACT）：

Biometrics has made amazing progress in its (relatively) short history. This speaker started his research in 1984, on face recognition, before it was even called biometrics. Then, computers were slow and memory was expensive, but we showed there was potential. Fast forward to now, when computers are fast and memory is cheap: with modern tools we can now produce a laboratory system which can achieve recognition, and in an afternoon. Biometrics helps the lives of most people on this planet by its virtues of speed and convenience. So it is time to take stock on our progress. As biometrics researchers, where are we going, and where should we go? Deep learning has enabled fast and accurate processes but we need to learn more of the underlying science. Can we deploy this capability for identification elsewhere, say forensic science? Is the underlying question what is identity and what does it imply? I’m currently the Editor in Chief of the IEEE Transactions on Biometrics, Behavior, and Identity Science. What is behaviour and what is identity science? Where will deep learning take us? This talk will aim to introduce these questions, in the context of my own work on gait and soft biometrics, though the solutions and answers remain for future work.

报告人简介（BIOGRAPHY）：

Mark S. Nixon is a Professor Emeritus with the Vision, Learning and Control research group in the School of Electronics and Computer Science at the University of Southampton UK. His research interests are in image processing, biometrics and computer vision. His team pioneered gait as a biometric and were amongst the pioneers of ear biometrics. His team has developed new techniques for static and moving shape extraction, which have found application in automatic face and automatic gait recognition and in medical image analysis. His books include Feature Extraction and Image Processing for Computer Vision (Elsevier, 4th Ed.), Human ID Based on Gait (Springer) and D’oh! Fourier (WSP). He was previously the President of the IEEE Biometrics Council.