讲座题目：Automatic Facial Processing, Analysis, and Applications

讲座人: Prof. Qiang Ji

讲座时间：15:30

讲座日期：2015-9-24

地点：长安校区太阳集团tcy8722网站学术报告厅

主办单位：太阳集团tcy8722网站 智能视觉计算团队

讲座内容简介：

讲座内容一：

The face is a central human organ.  It not only identifies a person and but also serves as a major channel to express a person emotion, interest, and intention.  Automatic facial processing and analysis is an active area of research in computer vision, with broad applications in many fields including security, medicine, psychology, entertainment, education, and games.  We have performed automatic facial processing and analysis over 15 years, covering almost every aspect of the face.  In this lecture, I will first summarize our recent work in automatic facial processing and analysis.  The topics to be covered include face detection and tracking, facial landmakr point detection and tracking, facial recognition, facial expression recognition, face pose estimation and tracking, eye detection and eye gaze tracking.   I will then discuss some applications for facial processing and analysis.  The lecture will feature video demos as well as live demos of some of our facial processing algorithms.

  讲座内容二：

   博硕士研究生选题与能力培养交流座谈会

讲座人简介：

Prof. Qiang Ji received his Ph.D degree in Electrical Engineering from the University of Washington. He is currently a Professor with the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI).  From 2009 to 2010, he served as a program director at the National Science Foundation (NSF), where he managed NSF’s computer vision and machine learning programs. He also held teaching and research positions with the Beckman Institute at University of Illinois at Urbana-Champaign, the Robotics  Institute at Carnegie Mellon University, the Dept. of Computer Science at University of Nevada, and the US Air Force Research Laboratory. Prof. Ji currently serves as the director of the Intelligent Systems Laboratory (ISL) at RPI.

Prof. Ji's research interests are in computer vision, probabilistic graphical models, machine learning, and their applications in various fields. He has published over 200 papers in peer-reviewed journals and conferences, and has received multiple awards for his work. Prof. Ji is an editor on several related IEEE and international journals and he has served as a general chair, program chair, technical area chair, and program committee member for numerous international conferences/workshops. Prof. Ji is a fellow of the IEEE and the IAPR.