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Skin microstructure deformation with displacement map convolution
File | Description | Size | Format | |
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skinstretch-final-small.pdf | Accepted version | 1.87 MB | Adobe PDF | View/Open |
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 |