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Skin microstructure deformation with displacement map convolution

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Title: Skin microstructure deformation with displacement map convolution
Authors: Nagano, K
Fyffe, G
Alexander, O
Barbic, J
Li, H
Ghosh, A
Debevec, P
Item Type: Journal Article
Abstract: We present a technique for synthesizing the effects of skin microstructure deformation by anisotropically convolving a high-resolution displacement map to match normal distribution changes in measured skin samples. We use a 10-micron resolution scanning technique to measure several in vivo skin samples as they are stretched and compressed in different directions, quantifying how stretching smooths the skin and compression makes it rougher. We tabulate the resulting surface normal distributions, and show that convolving a neutral skin microstructure displacement map with blurring and sharpening filters can mimic normal distribution changes and microstructure deformations. We implement the spatially-varying displacement map filtering on the GPU to interactively render the effects of dynamic microgeometry on animated faces obtained from high-resolution facial scans.
Issue Date: 1-Aug-2015
Date of Acceptance: 7-May-2015
URI: http://hdl.handle.net/10044/1/23615
DOI: 10.1145/2766894
ISSN: 1557-7368
Publisher: Association for Computing Machinery (ACM)
Journal / Book Title: ACM Transactions on Graphics
Volume: 34
Issue: 4
Copyright Statement: © ACM, 2015. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Graphics, VOL 34, ISS 4 31 July 2015
Sponsor/Funder: The Royal Society
Funder's Grant Number: WM 120040
Keywords: Science & Technology
Technology
Computer Science, Software Engineering
Computer Science
skin microgeometry
deformation
measurement
displacement map
convolution
LIGHT-REFLECTION
CAPTURE
MODEL
Software Engineering
0801 Artificial Intelligence and Image Processing
0806 Information Systems
Publication Status: Published
Article Number: ARTN 109
Online Publication Date: 2015-07-27
Appears in Collections:Computing
Faculty of Engineering