Mery and Bowyer Receive Best Paper Award at First International Workshop on Soft Biometrics
Domingo Mery, professor of computer science at Pontifica Universidad Católica (PUC) in Chile, and Kevin W. Bowyer, the Schubmehl-Prein Chair of Computer Science and Engineering at the University of Notre Dame, have received the Best Paper Award for their work titled “Recognition of Facial Attributes Using Adaptive Sparse Representations of Random Patches” at the First International Workshop on Soft Biometrics in Zurich earlier this year. The work was presented at the conference by Professor Mery. Specifically, the new general method for recognition that they propose suggests that some areas of a face are more helpful in classifying and identifying/recognizing expressions, gender, race, and disguises. Using the new algorithm based upon these areas, higher recognition performance can be achieved.
Mery is spending his sabbatical as a visiting professor in the Computer Vision Research Lab at Notre Dame. He served as chair of the computer science department at PUC from 2005-2009. He received the John Grimwade Medal from the British Institute of Non-destructive Testing for the best paper in its journal Insight during 2013. He was also awarded the Ron Halmshaw Award for the best paper in Insight on industrial radiography, published in the years 2012 and 2005. Mery received his bachelor’s in electrical engineering from the National University of Engineering in Lima, Peru, in 1988; his master’s (also in electrical engineering) from Karlsruhe Institute of Technology in Germany in 1992; and a doctorate of engineering science (focusing on electrical engineering) from the Technical University of Berlin in 2000. He is the local co-chair of ICCV 2015 to be held in Santiago de Chile next year.
Bowyer is a fellow of the IEEE, a Golden Core member of the IEEE’s Computer Society and a fellow of the International Association for Pattern Recognition. He is serving as general chair for the 2015 IEEE International Conference on Automated Face and Gesture Recognition and the 2015 IEEE Biometrics Theory Applications and Systems conference series. He is the author of the recent Handbook of Iris Recognition and is also a member of the editorial board for IEEE Access, the society’s new, rapid publication, open access mega-journal. A Notre Dame faculty member since 2001, Bowyer received his bachelor’s degree in economics from George Mason University in 1976 and his doctorate in computer science from Duke University in 1980.