Face recognition technology
Algorithms that Mimic the Brain's Processing Networks Show Promise For Producing Superior Face Detection and Recognition Technology
Date Published
March 2020
Agencies
NIJ
Analysis of Facial Marks to Distinguish between Identical Twins
Date Published
October 2012
Agencies
NIJ-Sponsored
Face matching and retrieval using soft biometrics
Date Published
September 2010
Agencies
NIJ-Sponsored
3D facial phenotyping by biometric sibling matching used in contemporary genomic methodologies
Date Published
January 2022
Agencies
NIJ-Sponsored
A Multivariate Approach to Determine the Dimensionality of Human Facial Asymmetry
Date Published
2020
Agencies
NIJ-Sponsored
Accounting for Covariates in Forensic Error Rate Assessment and Evidence Interpretation
2019-DU-BX-4011
Closed
Funding First Awarded
2020
$495,056
Recognize the Face
Date Published
March 2008
Agencies
NIJ-Sponsored
FaceSketchID System: Matching Facial Composites to Mugshots
Date Published
December 2014
Agencies
NIJ-Sponsored
Design and Implementation of Forensic Facial Identification Experts Test
Date Published
April 2020
Agencies
NIJ-Sponsored
History of NIJ Support for Face Recognition Technology
Date Published
March 2020
Agencies
NIJ
Algorithms that Mimic the Brain’s Processing Networks Preferred for Some Functions of Face Detection and Recognition Technology
Date Published
March 5, 2020
Recently completed research supported by NIJ, closely comparing different types of facial analysis algorithms — including a long-time law enforcement workhorse — reveals that high-powered, deep neural networks can deliver improved performance.
NIJ Face Algorithm Assessment - Phases I, II, and III, Version 1.0
Date Published
March 2019
Agencies
NIJ-Sponsored
Simultaneous Low Resolution and Off-Pose Angle Face Matching Algorithm as an Investigative Lead Generative Tool for Law Enforcement
Date Published
October 2018
Agencies
NIJ-Sponsored
Just Science Podcast: Episode 47: Drugs: Just Alcohol and Witness Recall
Date Published
June 2018
Agencies
NIJ-Sponsored