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Assessing the effect of facial disguises on forensic facial comparison by morphological analysis
Abstract
Disguises are commonly used to mask a person's facial appearance in areas under closed‐circuit television (CCTV) surveillance. While many studies attempted to understand the effects of disguises, such as hats and glasses, on facial recognition, limited studies have looked at disguises in forensic facial comparison. The aim of this study was to compare the outcomes of forensic facial comparison by morphological analysis (MA) in a CCTV sample with sunglasses and brimmed caps. The sample was obtained from the Wits Face Database and organized into 81 face pools of one target facial image wearing a disguise (cap or sunglasses) and 10 potential matching images. MA was conducted across face pools, and confusion matrices were used to assess the outcomes. Surprisingly, sunglasses had limited effect on MA performance both in accuracy (90.4%) and in reliability (κ = 0.798), while caps markedly decreased both accuracy (68.1%) and reliability (κ = 0.639). Error rates were associated primarily with false negatives in both samples (caps: 42.4%; sunglasses: 16.1%) despite the sample distribution favoring false‐positive errors, which were very low (caps: 0.6%; sunglasses: 0%). Similarly to other studies, hats and caps were more harmful to correct identification when compared to sunglasses, which actually resulted in better accuracy than regular CCTV recordings. The effect of brimmed caps on accuracy was attributed to the overall loss of facial information caused. On training analysts, it may be helpful to instruct purposefully avoiding overreliance on easily disguised facial features, as other regions of the face also contain substantial feature information.
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Faces disguised by brimmed caps yielded an exceedingly low CCA (68.1%), yet not as low as the analogue CCTV comparisons (33.1%).
“In contrast, faces disguised by brimmed caps yielded an exceedingly low CCA (68.1%) [49], yet not nearly as low as the analogue CCTV comparisons (33.1%) [48] (Figure 2).”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [49]
All other analyses from the various CCTV and photographic images showed improved performance under a strict iteration.
“All other analyses from the various CCTV and photographic images showed improved performance under a strict iteration [21,48,49].”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [49]
Standardized mounting heights translate to a steep angle of incidence, which reduces image quality and obscures relevant facial detail due to increased subject-to-camera distance and loss of useable resolution.
“The problem with these standardized mounting heights is that they translate to a steep angle of incidence. This in turn reduces image quality and obscures relevant facial detail as a result of the increased SCD and subsequent loss of useable resolution [48,49].”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [49]
The performance of MA in faces disguised with sunglasses was markedly high (90.4%), surpassing performance under the same standard CCTV conditions without sunglasses (82.6%), but not better than photographic (99.1%) or eye-level CCTV data (97.3%).
“Overall, the performance of MA in faces disguised with sunglasses was markedly high (90.4%) [49], in fact surpassing the performance of facial comparison under the same standard CCTV conditions without sunglasses (82.6%), but not better than the photographic (99.1%) [21] or eye-level CCTV data (97.3%) [48] (Figure 2).”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [49]
Across all of the studies, chance-corrected accuracy (CCA) was the best and most representative measure of accuracy, compared to hit rate and balanced accuracy.
“Across all of our studies, the best measure of accuracy was found to be the chance corrected accuracy (CCA) [21,48,49].”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [49]
Only two particular CCTV camera specifications under limited conditions and installation variations were tested in our results.
“In consideration of our results, only two particular CCTV camera specifications under limited conditions and installation variations were tested [21,48,49].”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [49]
The conditions in the studies were limited to the major questions broadly investigated by each study.
“In doing so, although realistic, the conditions were limited to the major questions broadly investigated by each study [21,48,49].”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [49]
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Validation of forensic facial comparison by morphological analysis in photographic and CCTV samples
Bacci, N., Houlton, T. M. R., Briers, N., & Steyn, M. (2021) · International Journal of Legal Medicine · doi:10.1007/s00414-021-02512-3 · Cited by 23
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Forensic Facial Comparison: Current Status, Limitations, and Future Directions
Bacci, N., Davimes, J. G., Steyn, M., & Briers, N. (2021) · Biology · doi:10.3390/biology10121269 · Cited by 26
Self-citation
Metadata
- Authors
- Bacci, N., Briers, N., & Steyn, M.
- Affiliations
- Human Variation and Identification Research Unit School of Anatomical Sciences University of the Witwatersrand Johannesburg South Africa
- Venue
- Journal of Forensic Sciences
- Publisher
- Wiley
- Published
- 2021-04-22
- Volume
- 66
- Issue
- 4
- Pages
- 1220-1233
- ISSN
- 0022-1198
- 1556-4029
- Cited by
- 4
- References
- 3
- Language
- en
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