Speaker: Zhang Lei, associate professor in Biometric Identification Research Center at Hong Kong Polytechnic University
Time: 9:30 am, December 27, 2010
Venue: Conference Room of Optical Image Analysis and Learning Center (OPTIMAL)
Summary:
This report describes the latest research results in Biometric Identification Research Center (BRC) at Hong Kong Polytechnic University. The report is divided into three parts. The first part will introduce the latest biometric identification technologies in BRC including 3D palm print, precision fingerprint, and the knuckle pattern recognition technology. The second part will introduce some image segmentation methods proposed by BRC, including regional integration based on the maximum similarities, dynamic regional integration, and the level set method of no initialization. The third section focuses on sparse representation and its application in image restoration and face recognition and it will introduce image super-resolution methods based on the adaptive selection of sparse field and face recognition method based on dictionary learning.
Speaker Profile:
Zhang Lei graduated from in 1995 graduated from Shenyang Institute of Aeronautical Engineering and received a bachelor's degree. In 1998 and 2001, he respectively received master's and doctoral degrees in Control Theory and Engineering at Northwestern Polytechnical University. From 2001 to 2002, he was an associate researcher at Hong Kong Polytechnic University. From 2003 to 2006, he had done postdoctoral research at McMaster University. In 2006, Dr. Zhang Lei joined Department of Computing at Hong Kong Polytechnic University as an assistant professor. He has been an associate professor from September 2010. His research includes mainly image and video processing, biometric recognition, computer vision, pattern recognition and multi-sensor data fusion, and so on. Dr. Zhang Lei is the associate editor in IEEE Trans. On SMC-C, and the contributing editor in EURASIP Journal on Image and Video Processing and Special Issue on Emerging Methods for Color Image and Video Quality Enhancement.
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