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Electronic Imaging & Signal Processing

Jonathon Phillips: Facial recognition -- recent progress, remaining challenges

Machines are better than humans at recognizing faces from the front, with a 93 percent success rate, but performance degrades under less-than-ideal conditions.

4 November 2013, SPIE Newsroom. DOI: 10.1117/2.3201311.01

Jonathon Phillips works in the fields of computer vision, biometrics, face recognition, and human identification at the National Institute of Standards and Technology (NIST), where he works on designing grand challenges for advancing face recognition and visual biometric technology and science. His previous efforts include the Iris Challenge Evaluations, the Face Recognition Vendor Test (FRVT) and the Face Recognition Grand Challenge. From 2000-2004, Phillips was assigned to the Defense Advanced Projects Agency (DARPA) as program manager for the Human Identification at a Distance program. He was test director for the FRVT 2002. For his work on the FRVT 2002 he was awarded the Department of Commerce Gold Medal.

His work has been reported in the New York Times and the Economist. He has appeared on National Public Radio's ScienceFriday. Prior to joining NIST, he was at the US Army Research Laboratory. He received his Ph.D. in operations research from Rutgers University. From 2004-2008 he was an Associate Editor for the IEEE Trans. on Pattern Analysis and Machine Intelligence and guest editor of an issue of the Proceedings of the IEEE on biometrics. In an Essential Science Indicators analysis of face recognition publication over the past decade, Jonathon's work ranks at #2 by total citations and #1 by cites per paper.