2021
DOI: 10.1097/prs.0000000000008781
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A New Model to Simulate Human Facial Appearance, Accurately, and Realistically, across Age and Ethnicity

Abstract: Background: The human population is aging globally, and there is significant, growing interest in modeling and simulating facial appearance. Methods: The authors describe a new means to model and simulate aging in facial images, using an approach based entirely on 3D whole-face data collected from 1250 female subjects, across 5 ethnicities, ages 10–80. Results: Three models were built, each describing change… Show more

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Cited by 2 publications
(2 citation statements)
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“…The morphed images were developed through artificial intelligence (AI) facial averaging technology. 11 The goal of this component was to model grade-based differences across the 4 points of the scale through statistical model-based “morphing” of a single individual “base image.”…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The morphed images were developed through artificial intelligence (AI) facial averaging technology. 11 The goal of this component was to model grade-based differences across the 4 points of the scale through statistical model-based “morphing” of a single individual “base image.”…”
Section: Methodsmentioning
confidence: 99%
“…Statistical color and topography models were then built using the IOH grade of each image as the independent variable. 11‐13 The completed models allowed for accurate image-based prediction of facial appearance for a desired target grade on the 4-point IOH scale. Note that the models were not just limited to the IOH region but predict the full face including any other facial feature correlated with IOH and accounted for every pixel in the image given.…”
Section: Methodsmentioning
confidence: 99%