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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| Vydané v: | Computer graphics forum Ročník 35; číslo 2; s. 353 - 363 |
|---|---|
| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Oxford
Blackwell Publishing Ltd
01.05.2016
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| Predmet: | |
| 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. |
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| 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. |
| Author_xml | – sequence: 1 givenname: G. surname: Fyffe fullname: Fyffe, G. organization: USC Institute for Creative Technologies, USA – sequence: 2 givenname: P. surname: Graham fullname: Graham, P. organization: USC Institute for Creative Technologies, USA – sequence: 3 givenname: B. surname: Tunwattanapong fullname: Tunwattanapong, B. organization: USC Institute for Creative Technologies, USA – sequence: 4 givenname: A. surname: Ghosh fullname: Ghosh, A. organization: Imperial College London, UK – sequence: 5 givenname: P. surname: Debevec fullname: Debevec, P. 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 – reference: Weyrich T., Matusik W., Pfister H., Bickel B., Donner C., Tu C., McAndless J., Lee J., Ngan A., Jensen H. W., Gross M.: Analysis of human faces using a measurement-based skin reflectance model. ACM TOG 25, 3 (2006), 1013-1024. 1, 2, 5, 6 – 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 – reference: Davis J., Nehab D., Ramamoorthi R., Rusinkiewicz S.: Spacetime stereo: A unifying framework for depth from triangulation. IEEE Trans. Pattern Anal. Mach. Intell. 27, 2 (2005), 296-302. 2 – reference: Rusinkiewicz S., Hall-Holt O., Levoy M.: Real-time 3D model acquisition. ACM TOG 21, 3 (2002), 438-446. 2 – reference: Zhang S., Huang P.: High-resolution, real-time three-dimensional shape measurement. Optical Engineering 45, 12 (2006). 2 – reference: Luo L., Li H., Rusinkiewicz S.: Structure-aware hair capture. ACM Trans. Graph. 32, 4 (July 2013). 2 – reference: Zickler T., Mallick S. P., Kriegman D. J., Belhumeur P. N.: Color subspaces as photometric invariants. Int. J. Comput. Vision 79, 1 (Aug. 2008), 13-30. 2, 5 – reference: Ghosh A., Fyffe G., Tunwattanapong B., Busch J., Yu X., Debevec P.: Multiview face capture using polarized spherical gradient illumination. ACM Trans. Graphics (Proc. SIGGRAPH Asia) 30, 6 (2011). 1, 3, 8, 9, 10 – 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 – reference: Alexander O., Rogers M., Lambeth W., Chiang J.-Y., Ma W.-C., Wang C.-C., Debevec P.: The Digital Emily Project: Achieving a photoreal digital actor. IEEE Computer Graphics and Applications 30 (July 2010), 20-31. 1 – reference: Zickler T. E., Belhumeur P. N., Kriegman D. J.: Helmholtz stereopsis: Exploiting reciprocity for surface reconstruction. Int. J. Comput. Vision 49, 2-3 (2002), 215-227. 2, 4 – reference: Bixler E. O., Bartlett N. R., Lansing R. W.: Latency of the blink reflex and stimulus intensity. Perception & Psychophysics 2, 11 (1967), 559-560. 2, 4 – reference: Nayar S., Fang X., Boult T.: Separation of reflection components using color and polarization. IJCV 21, 3 (1997), 163-186. 3 – reference: Glencross M., Ward G. J., Melendez F., Jay C., Liu J., Hubbold R.: A perceptually validated model for surface depth hallucination. ACM Trans. Graph. 27, 3 (Aug. 2008), 59:1-59:8. 2, 8 – reference: Langer M. S., Zucker S. W.: Shape-from-shading on a cloudy day. J. Opt. Soc. Am. A 11, 2 (Feb 1994), 467-478. 2, 8, 9 – reference: Zickler T., Ramamoorthi R., Enrique S., Belhumeur P. N.: Reflectance sharing: Predicting appearance from a sparse set of images of a known shape. PAMI 28, 8 (2006), 1287-1302. 10 – reference: Bradley D., Heidrich W., Popa T., Sheffer A.: High resolution passive facial performance capture. ACM Trans. Graph. 29 (July 2010), 41:1-41:10. 1, 2 – reference: Beeler T., Bickel B., Beardsley P., Sumner B., Gross M.: High-quality single-shot capture of facial geometry. ACM Trans. Graph. 29 (July 2010), 40:1-40:9. 1, 2, 8, 9 – reference: Furukawa Y., Ponce J.: Accurate, dense, and robust multiview stereopsis. IEEE Trans. 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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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