报告题目： Automatic Face Recognition: Challenges and Opportunities
报告人：Anil K. Jain（Distinguished Professor, Department of Computer Science， Michigan State University）
报告时间：2011年6月17日9:00-10:30
报告地点：计算机学院?软件学院会议室（望江校区基础教学大楼B314）
报告内容：
Automatic face recognition has received increased attention over the past ten years due to its important role in addressing a variety of security concerns, namely, access control to secure areas, de-duplication of passports and driver licenses and identification of suspects in surveillance videos. While there has been a substantial improvement in the performance of face recognition systems, they still do not meet the expectations and requirements of many forensics, law enforcement and commercial applications. The difficulties in automatic face recognition arise from the large intra-class variability in the face images due to many intrinsic (expression, aging) and extrinsic variations (pose, ambient illumination). In other words, different face images of the same person acquired at different times and under different imaging conditions can have substantially different appearances that cannot be correctly matched by state of the art techniques. The challenge is to a design salient feature extractor and a robust matcher. This talk will address a number of ongoing research projects in my lab that illustrate the importance and challenges on face recognition. These include (i) matching face sketch to photo, (ii) age-invariant face recognition, (iii) face recognition at a distance, (iv) heterogeneous face recognition, and (iv) use of micro-level features (face marks).
报告人简介：
Anil K. Jain is a University Distinguished Professor in the Department of Computer Science at Michigan State University. His research interests include pattern recognition, computer vision and biometrics. He was awarded Guggenheim fellowship, Humboldt Research award, Fulbright fellowship, IEEE Computer Society Technical Achievement award, IEEE W. Wallace McDowell award, IAPR King-Sun Fu Prize and IEEE ICDM Research Contribution award. He also received the best paper awards from the IEEE Trans. Neural Networks and the Pattern Recognition journal. He served as the Editor-in-Chief of the IEEE Trans. Pattern Analysis and Machine Intelligence and is a Fellow of the ACM, IEEE, AAAS, IAPR and SPIE. Holder of six patents in the area of fingerprints, he is the author of a number of books, including Handbook of Biometrics, Handbook of Multibiometrics, Handbook of Face Recognition, Handbook of Fingerprint Recognition and Algorithms for Clustering Data. He has served on The National Academies committees on Whither Biometrics, Improvised Explosive Devices (IED) and Information Technology and was a member of the Defense Science Board. He is general chair of the forthcoming International Conference on Biometrics, New Delhi, India, March 2012.
欢迎感兴趣的老师和学生参加！
视觉合成图形图像技术重点实验室
2011.6.15
