Face recognition technology
Part-based Spatio-temporal Model for Multi-person Re-identification
A survey of approaches and trends in person re-identification
Using Multi-instance Enrollment to Improve Performance of 3D Face Recognition
Face spoofing detection under super-realistic 3D wax face attacks
Order-Constrained ROC Regression With Application to Facial Recognition
Algorithms that Mimic the Brain's Processing Networks Show Promise For Producing Superior Face Detection and Recognition Technology
Facial Marks as Biometric Signatures to Distinguish between Identical Twins
Analysis of Facial Marks to Distinguish between Identical Twins
Face matching and retrieval using soft biometrics
Wisdom of the Social Versus Non-social Crowd in Face Identification
3D facial phenotyping by biometric sibling matching used in contemporary genomic methodologies
A Multivariate Approach to Determine the Dimensionality of Human Facial Asymmetry
Accounting for Covariates in Forensic Error Rate Assessment and Evidence Interpretation
Recognize the Face
Florida Facial Recognition System Unmasks Identity, Boosts Arrests
Improving Verification Accuracy by Synthesis of Locally Enhanced Biometric Images and Deformable Model
Testing Technology: From the Lab to the Field With Facial Recognition
Lessons From Collecting a Million Biometric Samples
FaceSketchID System: Matching Facial Composites to Mugshots
Biometrics: Applying an Emerging Technology to Jails
Design and Implementation of Forensic Facial Identification Experts Test
History of NIJ Support for Face Recognition Technology
Algorithms that Mimic the Brain’s Processing Networks Preferred for Some Functions of Face Detection and Recognition Technology
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.
History of NIJ Support for Face Recognition Technology
The National Institute of Justice has helped drive development of face algorithms since the 1990s, and NIJ expects to remain engaged as the technology evolves and the operating requirements mature.