Peter Corcoran

National University of Ireland, Galway Ireland

Peter Corcoran received the BAI (Electronic Engineering) and BA (Math’s) degrees from Trinity College Dublin in 1984. He continued his studies at TCD and was awarded a Ph.D. in Electronic Engineering for research work in the field of Dielectric Liquids. In 1986 he was appointed to a lectureship in Electronic Engineering at the National University of Ireland Galway. He is currently vice-dean in the College of Engineering & Informatics at NUI, Galway. His research interests include embedded systems applications, home networking, digital imaging, pattern recognition, face & fingerprint biometrics, smart grid and wired and wireless networking technologies. He was technical and conference chair of the IEEE International Conference on Consumer Electronics (ICCE) in 2010 and 2011 respectively. He is also editor of the IEEE Consumer Electronics Society newsletter and Editor-in-Chief of the newly launched (2012) IEEE Consumer Electronics Magazine. Peter is also a co-founder of FotoNation, a leading OEM supplier of in-camera image processing and analysis software, including embedded solutions for red-eye detection & correction and face tracking and recognition. Fotonation is now part of the Imaging and Optics division of Tessera Technologies. He is author of more than 200 technical publications and co-inventor on more than 100 granted US patents. He is a Fellow of the IEEE.

Peter Corcoran

2books edited

3chapters authored

Latest work with IntechOpen by Peter Corcoran

As a baby, one of our earliest stimuli is that of human faces. We rapidly learn to identify, characterize and eventually distinguish those who are near and dear to us. We accept face recognition later as an everyday ability. We realize the complexity of the underlying problem only when we attempt to duplicate this skill in a computer vision system. This book is arranged around a number of clustered themes covering different aspects of face recognition. The first section presents an architecture for face recognition based on Hidden Markov Models; it is followed by an article on coding methods. The next section is devoted to 3D methods of face recognition and is followed by a section covering various aspects and techniques in video. Next short section is devoted to the characterization and detection of features in faces. Finally, you can find an article on the human perception of faces and how different neurological or psychological disorders can affect this.

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