Estimating Facial Aging Using Light Scattering Photometry

Hadi A. Dahlan; Edwin R. Hancock

doi:10.1007/978-3-030-51866-0_7

Estimating Facial Aging Using Light Scattering Photometry

Hadi A. Dahlan, Edwin R. Hancock

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Facial agingFacial aging is a complex process, and the changes in the inner layers of the skin will affect how the light scatters from the skin. To observe whether a light scatteringLight scattering model parameter is suitable to be used forAge classification age classification/estimation, this study investigated and analyzed the relationship between the parameter of an analytical-based light scatteringLight scattering model and skins of various ages using photometryPhotometry method. Multiple models are used to investigate and compare the relationship between the model parameters and the subject's age. The results show that all of the models' roughness parameter representation has a significant positive correlation with age (p

Original language	Undefined/Unknown
Title of host publication	Advances in Photometric 3D-Reconstruction
Editors	Jean-Denis Durou, Maurizio Falcone, Yvain Quéau, Silvia Tozza
Place of Publication	Cham
Publisher	Springer
Pages	205-232
Number of pages	28
ISBN (Print)	978-3-030-51866-0
DOIs	https://doi.org/10.1007/978-3-030-51866-0_7
Publication status	Published - 1 Sept 2020

Access to Document

10.1007/978-3-030-51866-0_7

Cite this

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title = "Estimating Facial Aging Using Light Scattering Photometry",

abstract = "Facial agingFacial aging is a complex process, and the changes in the inner layers of the skin will affect how the light scatters from the skin. To observe whether a light scatteringLight scattering model parameter is suitable to be used forAge classification age classification/estimation, this study investigated and analyzed the relationship between the parameter of an analytical-based light scatteringLight scattering model and skins of various ages using photometryPhotometry method. Multiple models are used to investigate and compare the relationship between the model parameters and the subject's age. The results show that all of the models' roughness parameter representation has a significant positive correlation with age (p",

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T1 - Estimating Facial Aging Using Light Scattering Photometry

AU - Dahlan, Hadi A.

AU - Hancock, Edwin R.

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N2 - Facial agingFacial aging is a complex process, and the changes in the inner layers of the skin will affect how the light scatters from the skin. To observe whether a light scatteringLight scattering model parameter is suitable to be used forAge classification age classification/estimation, this study investigated and analyzed the relationship between the parameter of an analytical-based light scatteringLight scattering model and skins of various ages using photometryPhotometry method. Multiple models are used to investigate and compare the relationship between the model parameters and the subject's age. The results show that all of the models' roughness parameter representation has a significant positive correlation with age (p

AB - Facial agingFacial aging is a complex process, and the changes in the inner layers of the skin will affect how the light scatters from the skin. To observe whether a light scatteringLight scattering model parameter is suitable to be used forAge classification age classification/estimation, this study investigated and analyzed the relationship between the parameter of an analytical-based light scatteringLight scattering model and skins of various ages using photometryPhotometry method. Multiple models are used to investigate and compare the relationship between the model parameters and the subject's age. The results show that all of the models' roughness parameter representation has a significant positive correlation with age (p

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EP - 232

BT - Advances in Photometric 3D-Reconstruction

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A2 - Falcone, Maurizio

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A2 - Tozza, Silvia

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