Practical Measurement and Reconstruction of Spectral Skin Reflectance. (20th July 2020)

• Record Type: Journal Article
• Authors: Gitlina, Y.; Guarnera, G. C.; Dhillon, D. S.; Hansen, J.; Lattas, A.; Pai, D.; Ghosh, A.
• Is Part Of: Computer graphics forum. Volume 39:Number 4(2020)
• Page Start: 75
• Page End: 89
• Publication Date: 2020-07-20
• Subjects: CCS Concepts -- Computing methodologies → Reflectance modeling -- Computational photography; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.14055
• Languages: English
• ISSNs: 0167-7055

Abstract

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.