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When age-progressed images are unreliable: The roles of external features and age range
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“Conversely, the external shape, which can conspicuously change during maturation, with weight gain or loss, or with changes in hairstyle, can affect identification accuracy [50] and may modify the representation of internal facial features in terms of face recognition [64].”
From Simulation of facial growth based on longitudinal data: Age progression and age regression between 7 and 17 years of age using 3D surface data (2019) · cites this paper as [50]
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“In forensic practice, most age progressions are still produced by specialized artists, and the reliability of age progressions for the same individuals created by different artists can vary substantially [50].”
From Simulation of facial growth based on longitudinal data: Age progression and age regression between 7 and 17 years of age using 3D surface data (2019) · cites this paper as [50]
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Research works printed but not linked: 29
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Cited by
Sorted by citations
Koudelová, J., Hoffmannová, E., Dupej, J., & Velemínská, J. (2019) · PLOS ONE · doi:10.1371/journal.pone.0212618 · Cited by 33
Metadata
- Authors
- Erickson, W. B., Lampinen, J. M., Frowd, C. D., & Mahoney, G.
- Venue
- Science & Justice
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 57
- Issue
- 2
- Pages
- 136-143
- ISSN
- 1355-0306
- Cited by
- 14
- References
- 0
- Language
- en
- Licence
- Funders
- National Science Foundation (1155207)
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