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Estimating age and synthesising growth in children and adolescents using 3D facial prototypes
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Progress in computer science and improvements to medical imaging technologies have led to the development of computer systems for forensic facial reconstruction or for three-dimensional modelling of facial ageing using longitudinal and cross-sectional data.
“Progress in computer science and improvements to medical imaging technologies have led to the development of computer systems for forensic facial reconstruction [21,22] or for three-dimensional modelling of facial ageing using longitudinal [23,24] and cross-sectional data [25].”
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 [25]
Investigators of computational approaches are limited by the number of high-resolution images depicting individuals over time, which are mostly two-dimensional, and by the cross-sectional nature of their approaches.
“Investigators of computational approaches are also limited by the number of high-resolution images depicting individuals over time, which are mostly two-dimensional, and by the cross-sectional nature of their approaches [10,25].”
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 [25]
In a cross-sectional study [25], synthetically grown 3D faces were quantitatively compared with longitudinally collected images, and 85% of the faces were predicted correctly to within three millimetres.
“In the cross-sectional study [25], synthetically grown 3D faces were quantitatively compared with longitudinally collected images, and 85% of the faces were predicted correctly to within three millimetres.”
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 [25]
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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
- Matthews, H., Penington, A., Clement, J., Kilpatrick, N., Fan, Y., & Claes, P.
- Venue
- Forensic Science International
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 286
- Pages
- 61-69
- ISSN
- 0379-0738
- Cited by
- 17
- References
- 0
- Language
- en
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