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Practical measurement and reconstruction of spectral skin reflectance

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Title: Practical measurement and reconstruction of spectral skin reflectance
Authors: Gitlina, Y
Guarnera, GC
Dhillon, DS
Hansen, J
Lattas, A
Pai, D
Ghosh, A
Item Type: Journal Article
Abstract: We present two practical methods for measurement of spectral skin reflectance suited for live subjects, and drive a spectral BSSRDF model with appropriate complexity to match skin appearance in photographs, including human faces. Our primary measurement method employs illuminating a subject with two complementary uniform spectral illumination conditions using a multispectral LED sphere to estimate spatially varying parameters of chromophore concentrations including melanin and hemoglobin concentration, melanin blend‐type fraction, and epidermal hemoglobin fraction. We demonstrate that our proposed complementary measurements enable higher‐quality estimate of chromophores than those obtained using standard broadband illumination, while being suitable for integration with multiview facial capture using regular color cameras. Besides novel optimal measurements under controlled illumination, we also demonstrate how to adapt practical skin patch measurements using a hand‐held dermatological skin measurement device, a Miravex Antera 3D camera, for skin appearance reconstruction and rendering. Furthermore, we introduce a novel approach for parameter estimation given the measurements using neural networks which is significantly faster than a lookup table search and avoids parameter quantization. We demonstrate high quality matches of skin appearance with photographs for a variety of skin types with our proposed practical measurement procedures, including photorealistic spectral reproduction and renderings of facial appearance.
Issue Date: 1-Jul-2020
Date of Acceptance: 1-Jul-2020
URI: http://hdl.handle.net/10044/1/81662
DOI: 10.1111/cgf.14055
ISSN: 0167-7055
Publisher: Wiley
Start Page: 75
End Page: 89
Journal / Book Title: Computer Graphics Forum: the international journal of the Eurographics Association
Volume: 39
Issue: 4
Copyright Statement: © 2020 The Author(s) Computer Graphics Forum © 2020 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/N006259/1
Keywords: Science & Technology
Computer Science, Software Engineering
Computer Science
Science & Technology
Computer Science, Software Engineering
Computer Science
0801 Artificial Intelligence and Image Processing
Software Engineering
Publication Status: Published
Online Publication Date: 2020-07-20
Appears in Collections:Computing