World's Best Scientists 2026 revealed!

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Computer Science

D-Index
62
Citations
36080
World Ranking
2820
National Ranking
1393

Research.com Recognitions

  • 2008 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to face recognition and evaluation methodologies.

Overview

P. Jonathon Phillips is affiliated with the National Institute of Standards and Technology in the United States. Their research is primarily situated in the field of Computer Science, with significant contributions to subfields including Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, Artificial Intelligence, and Social Psychology.

The scientist's work spans several main topics related to facial analysis and recognition technologies. These topics include Face Recognition and Analysis, Face Recognition and Perception, Biometric Identification and Security, Face and Expression Recognition, Evolutionary Psychology and Human Behavior, Deception Detection and Forensic Psychology, and Advanced Statistical Methods and Models.

Phillips has published extensively, with recent papers covering a range of relevant subjects. Notable publications include:

  • "Four Principles of Explainable AI as Applied to Biometrics and Facial Forensic Algorithms," 2020, arXiv (Cornell University)
  • "Accuracy Comparison Across Face Recognition Algorithms: Where Are We on Measuring Race Bias?" 2020, IEEE Transactions on Biometrics Behavior and Identity Science
  • "Forensic facial examiners versus super-recognizers: Evaluating behavior beyond accuracy," 2022, Applied Cognitive Psychology
  • "Face identification proficiency test designed using item response theory," 2023, Behavior Research Methods
  • "Order-Constrained ROC Regression With Application to Facial Recognition," 2020, Technometrics

The scientist frequently publishes in venues such as arXiv (Cornell University), Journal of Vision, Applied Cognitive Psychology, IEEE Transactions on Biometrics Behavior and Identity Science, and Behavior Research Methods.

Throughout their career, Phillips has collaborated repeatedly with several coauthors. Frequent collaborators include Alice J. O'Toole, Amy N. Yates, Géraldine Jeckeln, Carina A. Hahn, and Jacqueline G. Cavazos.

Recognition for their contributions includes being named a Fellow of the International Association for Pattern Recognition (IAPR) in 2008, specifically for contributions to face recognition and evaluation methodologies.

Best Publications

  • Face recognition: A literature survey

    W. Zhao;R. Chellappa;P. J. Phillips;A. Rosenfeld

  • The FERET evaluation methodology for face-recognition algorithms

    Unknown

  • The FERET database and evaluation procedure for face-recognition algorithms

    P.Jonathon Phillips;Harry Wechsler;Jeffery Huang;Patrick J. Rauss

  • Overview of the face recognition grand challenge

    P.J. Phillips;P.J. Flynn;T. Scruggs;K.W. Bowyer

  • The humanID gait challenge problem: data sets, performance, and analysis

    S. Sarkar;P.J. Phillips;Z. Liu;I.R. Vega

  • FRVT 2006 and ICE 2006 large-scale results

    P Jonathon Phillips;W Todd Scruggs;Alice J O'Toole;Patrick J Flynn

  • Computational and performance aspects of PCA-based face-recognition algorithms.

    Hyeonjoon Moon;P Jonathon Phillips

  • Support Vector Machines Applied to Face Recognition

    P. Jonathon Phillips

  • Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms.

    P. Jonathon Phillips;Amy N. Yates;Ying Hu;Carina A. Hahn

  • FRVT 2006 and ICE 2006 Large-Scale Experimental Results

    P.J. Phillips;W.T. Scruggs;A.J. O'Toole;P.J. Flynn

  • Face Recognition Vendor Test 2002: Evaluation Report

    P Jonathon Phillips;Patrick Grother;Ross J Micheals;Duane M Blackburn

  • The gait identification challenge problem: data sets and baseline algorithm

    P.J. Phillips;S. Sarkar;I. Robledo;P. Grother

  • Mixture of experts for classification of gender, ethnic origin, and pose of human faces

    S. Gutta;J.R.J. Huang;P. Jonathon;H. Wechsler

  • Face Recognition Algorithms Surpass Humans Matching Faces Over Changes in Illumination

    A.J. O'Toole;P.J. Phillips;Fang Jiang;J. Ayyad

  • The Feret Verification Testing Protocol for Face Recognition Algorithms

    Syed A. Rizvi;P. Jonathon Phillips;Hyeonjoon Moon

  • Overview of the Multiple Biometrics Grand Challenge

    P. Jonathon Phillips;Patrick J. Flynn;J. Ross Beveridge;W. Todd Scruggs

  • The challenge of face recognition from digital point-and-shoot cameras

    J. Ross Beveridge;P. Jonathon Phillips;David S. Bolme;Bruce A. Draper

  • Perceptual expertise in forensic facial image comparison.

    David White;P. Jonathon Phillips;Carina A. Hahn;Matthew Hill

  • An introduction to the good, the bad, & the ugly face recognition challenge problem

    P. Jonathon Phillips;J. Ross Beveridge;Bruce A. Draper;Geof Givens

  • Face recognition algorithms and the other-race effect: computational mechanisms for a developmental contact hypothesis

    Nicholas Furl;P. Jonathon Phillips;Alice J. O'Toole

  • Report on the Evaluation of 2D Still-Image Face Recognition Algorithms

    Patrick J. Grother;George W. Quinn;P. Jonathon Phillips

Frequent Co-Authors

Alice J. O'Toole
Alice J. O'Toole The University of Texas at Dallas
J. Ross Beveridge
J. Ross Beveridge Colorado State University
Bruce A. Draper
Bruce A. Draper Colorado State University
Rama Chellappa
Rama Chellappa Johns Hopkins University
Patrick J. Flynn
Patrick J. Flynn University of Notre Dame
Kevin W. Bowyer
Kevin W. Bowyer University of Notre Dame
Vishal M. Patel
Vishal M. Patel Johns Hopkins University
Patrick J. Grother
Patrick J. Grother National Institute of Standards and Technology
Hervé Abdi
Hervé Abdi The University of Texas at Dallas
Gang Hua
Gang Hua Dolby (United States)

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