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Enhancing CCTV: Averages improve face identification from poor‐quality images
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/1099-0720(200101/02)15:1<101::aid-acp697>3.0.co;2-7openalex-snapshot
Evaluating the effectiveness of pixelation and blurring on masking the identity of familiar faces
inferredcites →https://doi.org/10.1002/acp.1490openalex-snapshot
CCTV on trial: Matching video images with the defendant in the dock
inferredcites →https://doi.org/10.1002/acp.2970openalex-snapshot
The Effect of Image Pixelation on Unfamiliar‐Face Matching
inferredcites →https://doi.org/10.1002/https://dx.doi.org/10.6028/nist.ir.7759openalex-snapshot
When High-Quality Face Images Match Poorly
inferredcites →https://doi.org/10.1002/https://dx.doi.org/10.6028/nist.ir.8009openalex-snapshot
Face Recognition Vendor Test (FRVT) Performance of Face Identification Algorithms NIST IR 8009
inferredcites →https://doi.org/10.1007/978-3-319-50673-9_9openalex-snapshot
Human Factors in Forensic Face Identification
inferredcites →https://doi.org/10.1007/978-3-642-21596-4_22openalex-snapshot
Face Recognition on Low Quality Surveillance Images, by Compensating Degradation
inferredcites →https://doi.org/10.1007/s10979-006-9007-2openalex-snapshot
Catching the bad guy: Morphing composite faces helps.
inferredcites →https://doi.org/10.1016/j.cognition.2015.05.002openalex-snapshot
Viewers base estimates of face matching accuracy on their own familiarity: Explaining the photo-ID paradox
inferredcites →https://doi.org/10.1016/j.cogpsych.2005.06.003openalex-snapshot
Robust representations for face recognition: The power of averages
inferredcites →https://doi.org/10.1016/j.eswa.2015.01.041openalex-snapshot
Visual privacy protection methods: A survey
inferredcites →https://doi.org/10.1016/j.imavis.2013.12.002openalex-snapshot
Comparison of human and computer performance across face recognition experiments
inferredcites →https://doi.org/10.1016/j.scijus.2015.04.010openalex-snapshot
Facial Comparison from CCTV footage: The competence and confidence of the jury
inferredcites →https://doi.org/10.1037//0021-9010.87.5.894openalex-snapshot
Four heads are better than one: Combining face composites yields improvements in face likeness.
inferredcites →https://doi.org/10.1037//1076-898x.5.4.339openalex-snapshot
Verification of face identities from images captured on video.
inferredcites →https://doi.org/10.1037/rev0000048openalex-snapshot
Robust social categorization emerges from learning the identities of very few faces.
inferredcites →https://doi.org/10.1037/xap0000009openalex-snapshot
Redesigning photo-ID to improve unfamiliar face matching performance.
inferredcites →https://doi.org/10.1049/ic:20060341openalex-snapshot
Improving target identification using pairs of composite faces constructed by the same person
inferredcites →https://doi.org/10.1098/rspb.2015.1292openalex-snapshot
Perceptual expertise in forensic facial image comparison
inferredcites →https://doi.org/10.1109/34.879790openalex-snapshot
The FERET evaluation methodology for face-recognition algorithms
inferredcites →https://doi.org/10.1109/38.946630openalex-snapshot
Prototyping and transforming facial textures for perception research
inferredcites →https://doi.org/10.1109/btas.2015.7358765openalex-snapshot
Human and algorithm performance on the PaSC face Recognition Challenge
inferredcites →https://doi.org/10.1109/cvprw.2006.125openalex-snapshot
Model-Based Face De-Identification
inferredcites →https://doi.org/10.1109/cvprw.2006.36openalex-snapshot
Automatic Image Quality Assessment with Application in Biometrics
inferredcites →https://doi.org/10.1109/fgr.2006.87openalex-snapshot
Preliminary Face Recognition Grand Challenge Results
inferredcites →https://doi.org/10.1109/icpr.2004.1333788openalex-snapshot
Stealth vision for protecting privacy
inferredcites →https://doi.org/10.1109/tkde.2005.32openalex-snapshot
Preserving privacy by de-identifying face images
inferredcites →https://doi.org/10.1109/tpami.2007.1107openalex-snapshot
Face Recognition Algorithms Surpass Humans Matching Faces Over Changes in Illumination
inferredcites →https://doi.org/10.1111/1467-9280.00144openalex-snapshot
Face Recognition in Poor-Quality Video: Evidence From Security Surveillance
inferredcites →https://doi.org/10.1111/1556-4029.12660openalex-snapshot
The Effect of Image Quality and Forensic Expertise in Facial Image Comparisons
inferredcites →https://doi.org/10.1111/cogs.12231openalex-snapshot
Identity From Variation: Representations of Faces Derived From Multiple Instances
inferredcites →https://doi.org/10.1117/12.774212openalex-snapshot
Can we ID from CCTV? Image quality in digital CCTV and face identification performance
inferredcites →https://doi.org/10.1126/science.1149656openalex-snapshot
100% Accuracy in Automatic Face Recognition
inferredcites →https://doi.org/10.1145/358916.358935openalex-snapshot
The effects of filtered video on awareness and privacy
inferredcites →https://doi.org/10.1348/000712600161907openalex-snapshot
Closed‐circuit television: How effective an identification aid?
inferredcites →https://doi.org/10.1371/journal.pone.0119460openalex-snapshot
Face Averages Enhance User Recognition for Smartphone Security
inferredcites →https://doi.org/10.1371/journal.pone.0139827openalex-snapshot
Error Rates in Users of Automatic Face Recognition Software
inferredcites →https://doi.org/10.3758/s13428-016-0837-7openalex-snapshot
InterFace: A software package for face image warping, averaging, and principal components analysis
inferredcites →https://doi.org/10.5334/pb-47-4-261openalex-snapshot
Pixelating Familiar People in the Media: Should Masking Be Taken at Face Value?
inferredcites →https://doi.org/10.6028/nist.ir.7307openalex-snapshot
Preliminary face recognition grand challange results
inferredcites →https://doi.org/10.6028/nist.ir.7759openalex-snapshot
When high quality face image match poorly
inferredcites →https://doi.org/10.6028/nist.ir.8009openalex-snapshot
Face Recognition Vendor Test (FRVT)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/acp.3620openalex-snapshot
Searching for faces in crowd chokepoint videos
inferred← citeshttps://doi.org/10.1002/acp.3754openalex-snapshot
Individual differences in face and voice matching abilities: The relationship between accuracy and consistency
inferred← citeshttps://doi.org/10.1002/acp.4133openalex-snapshot
Wisdom of the inner crowd benefits both face and voice matching
inferred← citeshttps://doi.org/10.1002/acp.70037openalex-snapshot
Fusing ChatGPT and Human Decisions in Unfamiliar Face Matching
inferred← citeshttps://doi.org/10.1016/j.cognition.2021.104632openalex-snapshot
Multiple-image arrays in face matching tasks with and without memory
inferred← citeshttps://doi.org/10.1016/j.fsisyn.2020.01.017openalex-snapshot
Interpol review of imaging and video 2016–2019
inferred← citeshttps://doi.org/10.1080/1068316x.2026.2701473openalex-snapshot
The role of attentional interventions and individual differences in the detection of low prevalence fake IDs
inferred← citeshttps://doi.org/10.1093/oso/9780198837749.003.0002openalex-snapshot
Factors Limiting Face Matching at Passport Control and in Police Investigations
inferred← citeshttps://doi.org/10.1111/bjop.12388openalex-snapshot
Face averages and multiple images in a live matching task
inferred← citeshttps://doi.org/10.1111/bjop.12499openalex-snapshot
Performance of typical and superior face recognizers on a novel interactive face matching procedure
inferred← citeshttps://doi.org/10.1177/0301006619848996openalex-snapshot
Social Evaluation of Faces Across Gender and Familiarity
inferred← citeshttps://doi.org/10.1177/0301006620905420openalex-snapshot
Likeness, Familiarity, and the Ambient Portrait Average
inferred← citeshttps://doi.org/10.1177/03010066221096987openalex-snapshot
The pairs training effect in unfamiliar face matching
inferred← citeshttps://doi.org/10.1177/03010066241284956openalex-snapshot
Anchoring has little effect when forming first impressions of facial attractiveness
inferred← citeshttps://doi.org/10.1177/17470218221104476openalex-snapshot
Understanding face matching
inferred← citeshttps://doi.org/10.1177/20416695231171355openalex-snapshot
Not the norm: Face likeness is not the same as similarity to familiar face prototypes
inferred← citeshttps://doi.org/10.12785/ijcds/140141openalex-snapshot
Deep Learning-Based Real-Time Weapon Detection System
inferred← citeshttps://doi.org/10.1371/journal.pone.0326706openalex-snapshot
Masked face matching benefits from isolated facial features
inferred← citeshttps://doi.org/10.31234/osf.io/6bzrsopenalex-snapshot
Not the norm: Face likeness is not the same as similarity to familiar face prototypes.
inferred← citeshttps://doi.org/10.31234/osf.io/j526copenalex-snapshot
Improving Identity Matching for Masked Faces: The Benefit of Isolated Facial Features
inferred← citeshttps://doi.org/10.31234/osf.io/kbm2gopenalex-snapshot
Performance of Typical and Superior Face Recognisers on a Novel Interactive Face Matching Procedure
inferred← citeshttps://doi.org/10.3390/biology10121269openalex-snapshot
Forensic Facial Comparison: Current Status, Limitations, and Future Directions
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