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Showing 1 to 20 of 85 for “"Facial Recognition"”.
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Composite artistry meets facial recognition technology : exploring the use of facial recognition technology to identify composite images
… on film, that photograph can be submitted into a facial recognition program for comparison with millions of possible matches, offering abundant opportunities to identify the suspect. Because composite images are reliant on a chance opportunity for a member of the public to see and recognize the …
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3D Image Acquisition System for Facial Recognition
… way people identify other individuals is via recognition of the subjects face. The speed and accuracy with which one person can identify another person is uncanny leading to the development automated facial recognition systems. The vast majority of these systems use two-dimensional (2D) images …
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REGULATING FEDERAL LAW ENFORCEMENT’S USE OF FACIAL RECOGNITION TECHNOLOGY
… allowing federal law enforcement to use facial recognition technology (FRT) while protecting civil liberties. Through a literature review, a comparative analysis of the European Union’s Law Enforcement Directive (LED), and a policy analysis for U.S. regulation it evaluates frameworks …
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The Flexible Face: Unifying the Protocols of Facial Recognition Technologies
“The Flexible Face: Unifying the Protocols of Facial Recognition Technologies” reconstructs the key historical constellations of technical, representational, and political protocols that have resulted in contemporary facial recognition technologies’ (FRTs) ubiquitous field of automated vision. This …
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Human and algorithm facial recognition performance : face in a crowd
… such technique to do this is by using automated facial recognition systems (FRS). To date, FRS have mainly been tested in laboratory conditions (controlled) however there is little publically available research to indicate the performance levels, and therefore the feasibility of using FRS in …
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Transformation Tolerance of Facial Recognition Technology and Informative Evaluation Metrics
Over the last decade, machine learning based facial recognition (FR) systems have continued to increase in popularity while spreading to unique deployment settings. Despite the large variance among FR input distributions, popular facial recognition benchmarks continue to characterize system …
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FACING REALITY: THE BENEFITS AND CHALLENGES OF FACIAL RECOGNITION FOR THE NYPD
Facial recognition technology (FRT) and license plate readers (LPRs) are comparable technologies that share similar benefits and challenges. Many of the challenges associated with LPRs have already been mitigated, resulting in citizen acceptance and expanded use. Recent advancements in FRT, such as …
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Privacy in the face of surveillance: Fourth Amendment considerations for facial recognition technology
Facial recognition technology adds a new dimension to government and police surveillance. If these organizations were to employ active surveillance using facial recognition technology, the implication could mean that people appearing in public places no longer have an expectation of privacy in …
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A Subject Based Methodology for Measuring Interclass Bias in Facial Recognition Verification Systems’
Rapid progress in automated facial recognition has led to a proliferation of the use of algorithms to support decision-making in high-stakes applications, such as immigration and border control, hiring, and the criminal justice system. Recent research has uncovered serious concerns about equality …
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The Design and Implementation of the Facial Recognition Vendor Test 2000 Evaluation Methodology
The biggest change in the facial recognition community since the completion of the FacE REcognition Technology (FERET) program has been the introduction of facial recognition products to the commercial market. Open market competitiveness has driven numerous technological advances in automated face …
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ML-CHIEFS: machine learning-based corneal-specular highlight imaging for enhancing facial recognition security
Machine learning (ML) has significantly improved facial recognition systems' (FRS) accuracy, robustness, and reliability, making them one of the most viable biometric identity verification solutions in various authentication applications. However, there are concerns about using FRSs, including …
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Face off : automatic versus controlled processing: does a shift in processing affect facial recognition?
… to controlled processing would impair face recognition rates, much like the manipulated Navon letters do (Perfect, Weston, Dennis, & Snell, 2008), thus providing an alternative explanation for the mechanism underlying the verbal overshadowing effect (Schooler & Engstler-Schooler, 1990).
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The butcher, the baker, the candlestick maker: investigating facial recognition for multiple-perpetrator crimes
… are administered in practice; (b) two face recognition experiments where the number of face-attribute pairs was manipulated at encoding to investigate the effect of set size on both item recognition (for attributes and faces), and associative memory performance (i.e., matching identity to …
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Public acceptance of facial recognition technology: Surveying attitudes, preferences, and concerns to inform policy development
… intelligence (AI) in public sector governance is facial recognition technology (FRT), which is used to identify or discover individuals by comparing an image of their face to a database of known faces for a match. Along with these applications, however, concerns surrounding FRT use by governments …
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Investigating the role of motivation in cross-race facial recognition using a social exclusion paradigm
… refers to the finding that participants in face recognition tasks show better memory for same-race faces than cross-race faces. The social cognitive perspective suggests that motivation to encode and remember different faces can affect the CRE. Social exclusion presents one way to explore the …
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An Ai-Powered 3-D Facial Recognition Framework for Crime Intelligence using Reconstructive and Predictive Techniques
Police use of facial recognition tends to be divided between stand-alone biometric tools and discrete dashboards for analysing crime, with very little integration between who appears in images and how patterns of crime develop. At the same time, mainstream 2-D recognition models are brittle under …
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Explaining Implicit and Explicit Affective Linkages in IT Teams: Facial Recognition, Emotional Intelligence, and Affective Tone
<p>Over 80 percent of task work in organizations is performed by teams. Most teams operate in a more fluid, dynamic, and complex environment than in the past. As a result, a growing body of research is beginning to focus on how teams’ emotional well-being can benefit the effectiveness of workplace …
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At Face Value: Mapping the Controversy of Facial Recognition Technology in Canada and its use by the RCMP
… by asking us to consider how the ontology of facial recognition is grounded within multiple realities. Specifically how different tools render the function of surveillance as contingent, multiple, and context dependent. By mapping out the controversies around facial recognition technology in …
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Facial Identification of Children: A Test of Automated Facial Recognition and Manual Facial Comparison Techniques on Juvenile Face Images
The accurate identification of children from facial photographs could provide a great attribute in the fight against child sexual exploitation, and may also aid in the detection of missing juveniles where comparative material is available. The European Commission is actively pursuing a global …
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Civil War Twin: Exploring Ethical Challenges in Designing an Educational Face Recognition Application
Facial recognition systems pose numerous ethical challenges around privacy, racial and gender bias, and accuracy, yet little guidance is available for designers and developers. We explore solutions to these challenges in a four-phase design process to create Civil War Twin (CWT), an educational …
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