报告题目：High-resolution Face Recognition高分辨率图像上的人脸识别
报告人：林健文教授
报告时间：11月25日下午14:30-16:00
报告地点：信息学院216会议室
报告人简介：
林建文教授，香港理工大学工程学院副院长，电子信息工程系教授，IEEE高级会员。1987年在英国伦敦大学帝国理工学院获得硕士学位，1996年在澳大利亚悉尼大学获得博士学位，1990年至今在香港理工大学电子信息工程系任教。是APSIPA理事会成员，是多个著名国际会议(ICASSP'03、ISIMP 2004、ISPACS 2005、ICIP 2010、PCM 2010、ICSPCC 2012)的组委会成员，曾任IEEE信号处理香港分会主席(2006-2008)，是IEEE Trans. on Image Processing(SCI), Digital Signal Processing(SCI), APSIPA Trans. on Signal and Information Processing和 EURASIP International Journal on Image and Video Processing等多个期刊的副主编。2004年获PatternRecognition期刊年度模式识别社区荣誉奖(Honorable Mention of the Annual Pattern Recognition Society Award)，2008年获Neural Networks and Signal Processing国际会议最佳论文奖。主要从事包括人脸识别、图像及视频处理和机器视觉领域的研究，发表SCI论文60余篇。
报告摘要：
A lot of research on face recognition has been conducted over the past two decades or more. Various face recognition methods have been proposed, but investigations are still underway to tackle different problems and challenges for face recognition. The existing algorithms can only solve some of the problems, and their performances degrade in real-world applications. In this talk, we will show that pore-scale facial features can be explored when the resolution of faces is greater than 700*600 pixels, and we will describe the use of the facial features for recognition under conditions of different facial expressions, lighting, poses and captured times. We will also present the minimum area in face images that can retain a high recognition level. Experiment results indicate that the facial pores can be used as a new biometric for recognition, even distinguishing between identical twins.
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2015年11月25日