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Tutorial 1:

Title: Face Recognition

Date&Time: 14 November 2010, 2:00pm-5:30pm

Venue: Lecture Theatre 2 , Nanyang Executive Centre

Tutor: Stan Z. Li
Professor
Institute of Automation, Chinese Academy of Sciences,PR China

Stan Z. Li received his B.Eng from Hunan University, China, M.Eng from National University of Defense Technology, China, and PhD degree from Surrey University, UK. He is currently a professor and the director of Center for Biometrics and Security Research (CBSR), Institute of Automation, Chinese Academy of Sciences (CASIA). His research interest includes pattern recognition and machine learning, image and vision processing, face recognition, biometrics, and intelligent video surveillance. He has published over 200 papers in international journals and conferences, and authored and edited 8 books. He is currently an associate editor of IEEE Transactions on Pattern Analysis and Machine Intelligence and acted as the editor-in-chief for the Encyclopedia of Biometrics (Springer Reference Work, 2009). He was elevated to IEEE Fellow for his contributions to the fields of face recognition, pattern recognition and computer vision.

 

Abstract of the Tutorial:

Face is one of the biometrics that has received intense research studies in the past decades. Significant progress has been made in the detection and recognition of it and the successes lead to many real-life applications using face technology. This tutorial focuses on the recognition of faces. It covers the prominent influential approaches and methods developed by researchers. Hence, it provides a good opportunity to graduate students and researchers to gain up-to-date knowledge in state-of-the-art this area from this tutorial, including the patented near-infra-red face technology. The tutorial will also cover some applications of face recognition such as the face verification in the Beijing Olympic Games, access control in Shanghai Expo, and auto-gates at Shen Zhen – Hong Kong Border Crossing. Hence, vision practitioners in industry can also benefited from this timely tutorial. The tutorial will also include several demo videos to how the methods work.

 

Outlines of the tutorial:

1. Introduction of face recognition
1.1 Subspace Analysis approach in face recognition
1.2 Linear Methods
1.3 Nonlinear Methods
1.4 Face Grand Challenges from Subspace Viewpoint

2. Face Analysis Methods
2.1 Face detection
2.2 Face Alignment
2.3 Face Recognition

3. Face Recognition Using Near Infrared Images

4. Heterogeneous Face Recognition

5. Applications

 

Tutorial 2 (canceled)