Social Face Recognition

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Abstract

In this talk I intend to focus on ubiquitous face recognition applied in social and consumer applications. The aim here is to focus on the sheer convenience of face recognition compared to other forms of identification. At ISBA2015 I heard that each of us spends three working weeks of the year simply identifying ourselves to others. As a community, if we could reduce the workload of identification to, say, two weeks, we could boost world productivity by about 2%. I will focus on this goal and the research problems that need to be overcome. The talk will include live software demonstrations.

Biography

Brian C. Lovell was born in Brisbane, Australia in 1960. He received the BE in electrical engineering in 1982, the BSc in computer science in 1983, and the PhD in signal processing in 1991: all from the University of Queensland (UQ). Professor Lovell is Director of the Advanced Surveillance Group in the School of ITEE, UQ. He was President of the International Association for Pattern Recognition (IAPR) [2008-2010], and is Fellow of the IAPR, Senior Member of the IEEE, and voting member for Australia on the Governing Board of the IAPR. He was General Co-Chair of the International Conference on Biometrics (ICB2018) Gold Coast, Australia and was Program Co-Chair of the International Conference of Pattern Recognition (ICPR2016) in Cancún Mexico, and was General Co-Chair of the IEEE International Conference on Image Processing in Melbourne, 2013. His interests include non-cooperative Face Recognition, Surveillance, robust face detection, Biometrics, and Pattern Recognition. His work in biometrics and surveillance has won numerous international awards including the prestigious Best CCTV System at IFSEC2011, Birmingham for Face in the Crowd recognition. He also won the Asia Pacific ICT Trophy for Best R&D in the Asia Pacific Region in Phuket, Thailand in 2011.

Brian Lovell
University of Queensland, Australia