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Facial recognition system

A facial recognition system is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces. Such a system is typically employed to authenticate users through ID verification services, and works by pinpointing and measuring facial features from a given image.

Technology, History & Applications

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Overview

History of facial recognition technology

Techniques for face recognition

Application

Advantages and disadvantages

Controversies

Bans on the use of facial recognition technology

Emotion recognition

Anti-facial recognition systems

Advanced semantic analysis

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Map overview Semantic statistics

Facial recognition system

Nodes336
Edges335
Triples237
Avg. degree1.99
Density0.005952
Components1

How this topic connects Entity context

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Facial recognition system

Top relations

related to Techniques and advances · 31
Facial recognition system → Alex Pentland, Because, Bochum, By, Christoph, Eigenface, Eigenfaces, Elastic Bunch Graph Matching, Fisherfaces, Gabor, In, It, Karhunen, LDA, LDA Fisherfaces, Loève, Malsburg, Matthew Turk, PCA, PCA Eigenface
see also · 27
Facial recognition system → AI, Approach, Biometric, Chinese, Cloud-based, Cognitive, Computerized, Data, Deep, Digital, Face, Face Matching Test, Facial, Former Facebook, IEC, List, Mode, Optical, Overview, Phenomenon
related to Emotion recognition · 19
Facial recognition system → Affectiva, Apple Inc, By, Carnegie Mellon University, CCTV, Emotient, Facebook, Facial, Facial Action Coding System, FacioMetrics, FACS, From, In, Its, Paul Ekman, Research, The, The MIT's Media Lab, Western
related to Early use by governments · 17
Facial recognition system → Department, DMV, Driver's, FaceIT, FERET, Following, ID, In, Minnesota, Motor Vehicles, New Mexico, The, This, United States, US, Visionics, West Virginia
related to Imperfect technology in law enforcement · 16
Facial recognition system → As, Blake Senftner, Clare Garvie, CyberExtruder, Experts, Georgetown University, However, It, Joy Buolamwini, Just, Microsoft Research, MIT Media Lab, One, Overall, The, Timnit Gebru
related to Social media · 15
Facial recognition system → After, DeepFace, Facebook, Facetune, FBI's Next Generation Identification, Founded, Image, In, It, Kickstarter, Looksery, October, Perfect365, SnapChat, The
related to Compared to other biometric systems · 12
Facial recognition system → Among, Face Recognition Grand Challenge, Factors, FRGC, High-resolution, However, In, One, Properly, Quality, Some, The
related to Anti-facial recognition systems · 10
Facial recognition system → AI, Another, Big, COVID-19, CVDazzle, Given, One, Solutions, The, There
related to Cross-race effect bias · 10
Facial recognition system → Asian, Cross-race, Eurocentric, Facial, For, Known, Machine Learning, ML, The, When
related to External links · 10
Facial recognition system → Approach, Bristol, England, Face Recognition, Facial, Media, The University, West, Wikimedia CommonsA Photometric Stereo, Wiktionary-logo-en-v2

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Important terminology

recognition facial face systems technology system used police use data surveillance human also using privacy images biometric identify software features

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Facial recognition systemis atechnology potentially capable of matching a human face from a digital image or a video frame against a database of faces0.90text
deepfakes has also raised concerns about its securityinstance ofThe appearance of synthetic media0.80text
the chininstance ofTakeo Kanade publicly demonstrated a face-matching system that located anatomical features0.80text
calculated the distance ratio between facial features without human interventioninstance ofTakeo Kanade publicly demonstrated a face-matching system that located anatomical features0.80text
eyesinstance ofFeatures0.80text
noseinstance ofFeatures0.80text
mouth are pinpointedinstance ofFeatures0.80text
measured in the image to represent the faceinstance ofFeatures0.80text
according to featuresinstance ofThe former attempts to recognize the face in its entirety while the feature-based subdivide into components0.80text
analyze each as well as its spatial location with respect to other features.Popular recognition algorithms include principal component analysis using eigenfacesinstance ofThe former attempts to recognize the face in its entirety while the feature-based subdivide into components0.80text
linear discriminant analysisinstance ofThe former attempts to recognize the face in its entirety while the feature-based subdivide into components0.80text
elastic bunch graph matching using the Fisherface algorithminstance ofThe former attempts to recognize the face in its entirety while the feature-based subdivide into components0.80text

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