Fast and Robust Human Recognition Using 2D and 3D Ear and Face Images
Dr Syed Islam (University of Western Australia)
CSIRO ICTDATE: 2011-02-22
TIME: 14:00:00 - 15:00:00
LOCATION: Seminar Room S206 CSIRO ICTC Building 108
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ABSTRACT:
Biometric human recognition is rapidly gaining popularity due to breaches of traditional security systems and the lowering cost of sensors. This talk presents a fast, fully automatic and robust approach for recognition of people from their 2D and 3D ear and face images. At first, the ear shape is detected from the 2D profile image using a Cascaded AdaBoost-based detector. The corresponding 3D ear data are then extracted from the co-registered range image. Face data are detected and extracted from the 3D frontal face scan. Local features are automatically extracted from both the modalities for representation and recognition via construction of a rejection classifier, extraction of a minimal region with feature-rich data points and finally, computation of the initial transformation for matching. The Iterative Closest Point algorithm (ICP) is used for fine matching of the short-listed candidates with the minimal datasets. Fusion of L3DF-based and ICP-based matching scores from the two modalities is performed using a weighted sum-rule. A novel approach of fusing these modalities at feature-level is also proposed. The proposed multimodal biometric approaches significantly outperform current unimodal approaches especially for non-neutral facial expressions.
BIO:
Dr. Syed Islam obtained his PhD in Computer Engineering from the School of Computer Science and Software Engineering at The University of Western Australia (UWA) on September 16, 2010. His PhD thesis titled "Human Recognition Using Local 3D Ear and Face Features" was awarded the aAward of Distinctiona and was also nominated by his School for the Australasian Distinguished Doctoral Dissertation, 2010. He also completed an MSc in Computer Engineering from King Fahd University of Petroleum and Minerals (KFUPM) in 2006 with a thesis on augmenting a telerobotic stereovision system using graphical overlays. Prior to the MSc, he obtained a Bachelor with Honours in Electrical and Electronic Engineering with substantial proportion of computer courses. So far, he has published or submitted for publication 25 scholarly articles in peer-reviewed journals and conferences including ACM Computing Surveys, IEEE Trans. on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision, which are highly ranked in his area of expertise. He worked as a Lecturer in Computer Science and Engineering Department in the Asian University of Bangladesh from July 9, 2001 to Feb 28, 2003. He also performed several research and teaching assistance jobs in KFUPM and UWA. Currently, he is working as a Postdoctoral Research Fellow in the School of Dentistry at UWA in a project for facial asymmetry analysis using 3D computer graphics.
