Near-Instant Capture of High-Resolution Facial Geometry and Reflectance

We present a near‐instant method for acquiring facial geometry and reflectance using a set of commodity DSLR cameras and flashes. Our setup consists of twenty‐four cameras and six flashes which are fired in rapid succession with subsets of the cameras. Each camera records only a single photograph an...

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Published in:Computer graphics forum Vol. 35; no. 2; pp. 353 - 363
Main Authors: Fyffe, G., Graham, P., Tunwattanapong, B., Ghosh, A., Debevec, P.
Format: Journal Article
Language:English
Published: Oxford Blackwell Publishing Ltd 01.05.2016
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ISSN:0167-7055, 1467-8659
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Abstract We present a near‐instant method for acquiring facial geometry and reflectance using a set of commodity DSLR cameras and flashes. Our setup consists of twenty‐four cameras and six flashes which are fired in rapid succession with subsets of the cameras. Each camera records only a single photograph and the total capture time is less than the 67ms blink reflex. The cameras and flashes are specially arranged to produce an even distribution of specular highlights on the face. We employ this set of acquired images to estimate diffuse color, specular intensity, specular exponent, and surface orientation at each point on the face. We further refine the facial base geometry obtained from multi‐view stereo using estimated diffuse and specular photometric information. This allows final submillimeter surface mesostructure detail to be obtained via shape‐from‐specularity. The final system uses commodity components and produces models suitable for authoring high‐quality digital human characters.
AbstractList We present a near‐instant method for acquiring facial geometry and reflectance using a set of commodity DSLR cameras and flashes. Our setup consists of twenty‐four cameras and six flashes which are fired in rapid succession with subsets of the cameras. Each camera records only a single photograph and the total capture time is less than the 67ms blink reflex. The cameras and flashes are specially arranged to produce an even distribution of specular highlights on the face. We employ this set of acquired images to estimate diffuse color, specular intensity, specular exponent, and surface orientation at each point on the face. We further refine the facial base geometry obtained from multi‐view stereo using estimated diffuse and specular photometric information. This allows final submillimeter surface mesostructure detail to be obtained via shape‐from‐specularity. The final system uses commodity components and produces models suitable for authoring high‐quality digital human characters.
Author Ghosh, A.
Debevec, P.
Tunwattanapong, B.
Graham, P.
Fyffe, G.
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  organization: USC Institute for Creative Technologies, USA
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Copyright 2016 The Author(s) Computer Graphics Forum © 2016 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd.
2016 The Eurographics Association and John Wiley & Sons Ltd.
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References_xml – reference: Hertzmann A., Seitz S. M.: Example-based photometric stereo: Shape reconstruction with general, varying brdfs. PAMI 27, 8 (2005), 1254-1264. 2
– reference: Nehab D., Rusinkiewicz S., Davis J., Ramamoorthi R.: Efficiently combining positions and normals for precise 3D geometry. ACM TOG 24, 3 (2005), 536-543. 2, 6
– reference: Bérard P., Bradley D., Nitti M., Beeler T., Gross M.: High-quality capture of eyes. ACM Trans. Graph. 33, 6 (Nov. 2014). 10
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– reference: Zhang L., Snavely N., Curless B., Seitz S. M.: Spacetime faces: high resolution capture for modeling and animation. ACM TOG 23, 3 (2004), 548-558. 2
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– reference: Beeler T., Bickel B., Noris G., Beardsley P., Marschner S., Sumner R. W., Gross M.: Coupled 3d reconstruction of sparse facial hair and skin. ACM Trans. Graph. 31, 4 (July 2012), 117:1-117:10. 10
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Snippet We present a near‐instant method for acquiring facial geometry and reflectance using a set of commodity DSLR cameras and flashes. Our setup consists of...
We present a near-instant method for acquiring facial geometry and reflectance using a set of commodity DSLR cameras and flashes. Our setup consists of...
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SubjectTerms Analysis
and texture
Cameras
Categories and Subject Descriptors (according to ACM CCS)
Color
Commodities
Face
Facial
Geometry
Human
I.3.3 [Computer Graphics]: Picture/Image Generation-Digitizing and scanning
I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Color
I.3.7 [Computer Graphics]: Three‐Dimensional Graphics and Realism—Color, shading, shadowing, and texture
Image processing systems
Photography
Photometry
Reflectance
Reflectivity
shading
shadowing
Studies
Three dimensional imaging
Title Near-Instant Capture of High-Resolution Facial Geometry and Reflectance
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https://www.proquest.com/docview/1825462304
Volume 35
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