Colloquium/Seminar

YearMonth
2017 Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Oct   Nov   Dec  
2016 Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Oct   Nov   Dec  
2015 Jan   Feb   Mar   Apr   May   Jun   Aug   Sep   Oct   Nov   Dec  
2014 Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec  
2013 Jan   Feb   Mar   Apr   May   Jun   Aug   Sep   Nov   Dec  
2012 Jan   Feb   Apr   May   Jun   Jul   Aug   Sep   Nov   Dec  
2011 Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec  
2010 Jan   Feb   Mar   Apr   May   Jun   Sep   Oct   Nov   Dec  
2009 Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec  
2008 Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec  
2007 Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec  
2006 Jan   Feb   Mar   Apr   May   Jun   Jul   Sep   Oct   Nov   Dec  
2005 Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec  
2004 Jan   Feb   Mar   Apr   May   Aug   Sep   Oct   Nov   Dec  

Event(s) on October 2011


  • Tuesday, 4th October, 2011

    Title: Phase-field models for multiphase complex fluids: modeling, numerical analysis and simulations
    Speaker: Prof. SHEN Jie, Department of Mathematics, Purdue University, USA
    Time/Place: 16:30  -  17:30
    FSC1217, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University
    Abstract: I shall present some recent work on phase-field model for multiphase incompressible flows. We shall pay particular attention to situations with large density ratios as they lead to formidable challenges in both analysis and simulation.


  • Wednesday, 19th October, 2011

    Title: Recent Trends in Processing Low Quality Images for Biometric Identification
    Speaker: Professor Bob Plemmons, Reynolds Chair of Computer Science & Mathematics, Wake Forest University, USA
    Time/Place: 15:00  -  16:00
    FSC1217, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University
    Abstract: Biometric recognition is a technique for checking and verifying identities that employs digitally created maps of an individual's physical characteristics. Modalities include fingerprints, voice recordings, iris scans, ocular region or face images, etc., the most reliable of which is considered to be iris recognition. However, effective iris recognition generally requires a compliant subject and high quality images, which are not always available in security applications. In this talk we describe some recent mathematical algorithms for biometric identification based on imaging the ocular region of the face, including the eyes, from from several meters range. Topics considered include new approaches for iris segmentation and comparisons with 5 different iris segmentation algorithms on challenging ocular images. The goal is to convey some of the difficulties in localizing the iris structure in images of the eye characterized by variations in illumination, eye-lid and eye-lash occlusion, de-focus blur, motion blur and low resolution. The 5 algorithms considered in this regard are based on the (a) integro-differential operator; (b) Hough transform; (c) geodesic active contours; (d) active contours without edges; and (e) directional ray detection methods. Experiments on the very difficult Face and Ocular Challenge Series (FOCS) database highlight the pros and cons of the individual segmentation algorithms. We conclude with a look at incorporating non-iris information in the general ocular region as well as some future directions in biometrics. This work is part of a team effort involving researchers at Carnegie Mellon, West Virginia, and Wake Forest.