3D surface texture analysis of high‐resolution normal fields for facial skin condition assessment

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3D surface texture analysis of high‐resolution normal fields for facial skin condition assessment. / Seck, Alassane; Dee, Hannah; Smith, William; Tiddeman, Bernie.

Yn: Skin Research and Technology, 28.09.2019.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygl

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@article{07cc12dbaf4a4a8eacb1432f61b6181e,
title = "3D surface texture analysis of high‐resolution normal fields for facial skin condition assessment",
abstract = "BackgroundThis paper investigates the use of a light stage to capture high‐resolution, 3D facial surface textures and proposes novel methods to use the data for skin condition assessment.Materials and MethodsWe introduce new methods for analysing 3D surface texture using high‐resolution normal fields and apply these to the detection and assessment of skin conditions in human faces, specifically wrinkles, pores and acne. The use of high‐resolution normal maps as input to our texture measures enables us to investigate the 3D nature of texture, while retaining aspects of some well‐known 2D texture measures. The main contributions are as follows: the introduction of three novel methods for extracting texture descriptors from high‐resolution surface orientation fields; a comparative study of 2D and 3D skin texture analysis techniques; and an extensive data set of high‐resolution 3D facial scans presenting various skin conditions, with human ratings as “ground truth.”ResultsOur results demonstrate an improvement on state‐of‐the‐art methods for the analysis of pores and comparable results to the state of the art for wrinkles and acne using a considerably more compact model.ConclusionsThe use of high‐resolution normal maps, captured by a light stage, and the methods described, represent an important new set of tools in the analysis of skin texture.",
keywords = "3D surface texture, 3D capture, skin analysis, texture",
author = "Alassane Seck and Hannah Dee and William Smith and Bernie Tiddeman",
year = "2019",
month = "9",
day = "28",
doi = "10.1111/srt.12793",
language = "English",
journal = "Skin Research and Technology",
issn = "0909-752X",
publisher = "Wiley",

}

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TY - JOUR

T1 - 3D surface texture analysis of high‐resolution normal fields for facial skin condition assessment

AU - Seck, Alassane

AU - Dee, Hannah

AU - Smith, William

AU - Tiddeman, Bernie

PY - 2019/9/28

Y1 - 2019/9/28

N2 - BackgroundThis paper investigates the use of a light stage to capture high‐resolution, 3D facial surface textures and proposes novel methods to use the data for skin condition assessment.Materials and MethodsWe introduce new methods for analysing 3D surface texture using high‐resolution normal fields and apply these to the detection and assessment of skin conditions in human faces, specifically wrinkles, pores and acne. The use of high‐resolution normal maps as input to our texture measures enables us to investigate the 3D nature of texture, while retaining aspects of some well‐known 2D texture measures. The main contributions are as follows: the introduction of three novel methods for extracting texture descriptors from high‐resolution surface orientation fields; a comparative study of 2D and 3D skin texture analysis techniques; and an extensive data set of high‐resolution 3D facial scans presenting various skin conditions, with human ratings as “ground truth.”ResultsOur results demonstrate an improvement on state‐of‐the‐art methods for the analysis of pores and comparable results to the state of the art for wrinkles and acne using a considerably more compact model.ConclusionsThe use of high‐resolution normal maps, captured by a light stage, and the methods described, represent an important new set of tools in the analysis of skin texture.

AB - BackgroundThis paper investigates the use of a light stage to capture high‐resolution, 3D facial surface textures and proposes novel methods to use the data for skin condition assessment.Materials and MethodsWe introduce new methods for analysing 3D surface texture using high‐resolution normal fields and apply these to the detection and assessment of skin conditions in human faces, specifically wrinkles, pores and acne. The use of high‐resolution normal maps as input to our texture measures enables us to investigate the 3D nature of texture, while retaining aspects of some well‐known 2D texture measures. The main contributions are as follows: the introduction of three novel methods for extracting texture descriptors from high‐resolution surface orientation fields; a comparative study of 2D and 3D skin texture analysis techniques; and an extensive data set of high‐resolution 3D facial scans presenting various skin conditions, with human ratings as “ground truth.”ResultsOur results demonstrate an improvement on state‐of‐the‐art methods for the analysis of pores and comparable results to the state of the art for wrinkles and acne using a considerably more compact model.ConclusionsThe use of high‐resolution normal maps, captured by a light stage, and the methods described, represent an important new set of tools in the analysis of skin texture.

KW - 3D surface texture

KW - 3D capture

KW - skin analysis

KW - texture

U2 - 10.1111/srt.12793

DO - 10.1111/srt.12793

M3 - Article

JO - Skin Research and Technology

JF - Skin Research and Technology

SN - 0909-752X

ER -

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