[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/1833349.1778777acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
research-article

High-quality single-shot capture of facial geometry

Published: 26 July 2010 Publication History

Abstract

This paper describes a passive stereo system for capturing the 3D geometry of a face in a single-shot under standard light sources. The system is low-cost and easy to deploy. Results are submillimeter accurate and commensurate with those from state-of-the-art systems based on active lighting, and the models meet the quality requirements of a demanding domain like the movie industry. Recovered models are shown for captures from both high-end cameras in a studio setting and from a consumer binocular-stereo camera, demonstrating scalability across a spectrum of camera deployments, and showing the potential for 3D face modeling to move beyond the professional arena and into the emerging consumer market in stereoscopic photography.
Our primary technical contribution is a modification of standard stereo refinement methods to capture pore-scale geometry, using a qualitative approach that produces visually realistic results. The second technical contribution is a calibration method suited to face capture systems. The systemic contribution includes multiple demonstrations of system robustness and quality. These include capture in a studio setup, capture off a consumer binocular-stereo camera, scanning of faces of varying gender and ethnicity and age, capture of highly-transient facial expression, and scanning a physical mask to provide ground-truth validation.

Supplementary Material

Supplemental material. (040.zip)

References

[1]
Alexander, O., Rogers, M., Lambeth, W., Chiang, M., and Debevec, P. 2009. The Digital Emily Project: Photoreal facial modeling and animation. ACM Trans. Graph.
[2]
Beeler, T., Bickel, B., Beardsley, P., Sumner, B., and Gross, M. 2010. High-quality single shot capture of facial geometry: Implementation details. Tech. Rep. 671, ETH Zurich.
[3]
Bradley, D., Heidrich, W., Popa, T., and Sheffer, A. 2010. High resolution passive facial performance capture. ACM Trans. Graph.
[4]
Chen, T., Goesele, M., and Seidel, H. 2006. Mesostructure from specularity. CVPR.
[5]
DI3D. 2009. Dimensional imaging. http://www.di3d.com.
[6]
Donner, C., and Jensen, H. 2006. A spectral bssrdf for shading human skin. Eurographics Symposium on Rendering.
[7]
Donner, C., Weyrich, T., d'Eon, E., Ramamoorthi, R., and Rusinkiewicz, S. 2008. A layered, heterogeneous reflectance model for acquiring and rendering human skin. ACM Trans. Graph.
[8]
Furukawa, Y., and Ponce, J. 2007. Accurate, dense, and robust multi-view stereopsis. CVPR.
[9]
Glencross, M., Ward, G., Melendez, F., Jay, C., Liu, J., and Hubbold, R. 2008. A perceptually validated model for surface depth hallucination. ACM Trans. Graph.
[10]
Golovinskiy, A., Matusik, W., Pfister, H., Rusinkiewicz, S., and Funkhouser, T. 2006. A statistical model for synthesis of detailed facial geometry. ACM Trans. Graph.
[11]
Hartley, R., and Zisserman, A. 2000. Multiple View Geometry, second ed. Cambridge University Press.
[12]
Hernandez, C., Vogiatzis, G., and Cipolla, R. 2008. Shadows in three-source photometric stereo. ECCV.
[13]
Hiep, V., Keriven, R., Labatut, P., and Pons, J. 2009. Towards high-resolution large-scale multi-view stereo. CVPR.
[14]
Hyneman, W., Itokazu, H., Williams, L., and Zhao, X. 2005. Human face project. SIGGRAPH 2005 Courses.
[15]
Intel. 2001. Opencv reference manual. http://developer.intel.com.
[16]
Kazhdan, M., Bolitho, M., and Hoppe, H. 2006. Poisson surface reconstruction. In SGP.
[17]
Ma, W., Hawkins, T., Peers, P., Chabert, C., Weiss, M., and Debevec, P. 2007. Rapid acquisition of specular and diffuse normal maps from polarized spherical gradient illumination. Rendering Techniques.
[18]
Merrell, P., Akbarzadeh, A., Wang, L., Mordohai, P., Frahm, J., Yang, R., Nister, D., and Pollefeys, M. 2007. Real-time visibility-based fusion of depth maps. ICCV.
[19]
Meyer, M., Desbrun, M., Schröder, P., and Barr, A. H. 2003. Discrete differential-geometry operators for triangulated 2-manifolds. In Visualization and Mathematics III.
[20]
Nehab, D., Rusinkiewicz, S., Davis, J., and Ramamoorthi, R. 2005. Efficiently combining positions and normals for precise 3d geometry. ACM Trans. Graph.
[21]
Parke, F. 1974. A parametric model for human faces. PhD Thesis, University of Utah.
[22]
Pighin, F., and Lewis, J. 2005. Digital face cloning. ACM Trans. Graph.
[23]
Robert, L., and Deriche, R. 1996. Dense depth map reconstruction: A minimization and regularization approach which preserves discontinuities. In ECCV.
[24]
Scharstein, D., and Szeliski, R. 1996. Stereo matching with non-linear diffusion. CVPR.
[25]
Scharstein, D., and Szeliski, R. 2002. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. IJCV.
[26]
Seitz, S., Curless, B., Diebel, J., Scharstein, D., and Szeliski, R. 2006. A comparison and evaluation of multi-view stereo reconstruction algorithms. CVPR.
[27]
Sifakis, E., Neverov, I., and Fedkiw, R. 2005. Automatic determination of facial muscle activations from sparse motion capture marker data. ACM Trans. Graph.
[28]
Svoboda, T. Multi camera self-calibration. http://cmp.felk.cvut.cz/svoboda/SelfCal/index.html.
[29]
Torralba, A., and Freeman, W. 2003. Properties and applications of shape recipes. CVPR.
[30]
Weise, T., Leibe, B., and Gool, L. V. 2007. Fast 3D scanning with automatic motion compensation. CVPR.
[31]
Weise, T., Li, H., Gool, L., and Pauly, M. 2009. Face/off: live facial puppetry. SCA.
[32]
Weyrich, T., Matusik, W., Pfister, H., Bickel, B., Donner, C., Tu, C., McAndless, J., Lee, J., Ngan, A., Jensen, H., and Gross, M. 2006. Analysis of human faces using a measurement-based skin reflectance model. ACM Trans. Graph.
[33]
Woodford, O., Torr, P., Reid, I., and Fitzgibbon, A. 2008. Global stereo reconstruction under second order smoothness priors. CVPR.

Cited By

View all
  • (2024)VRMM: A Volumetric Relightable Morphable Head ModelACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657406(1-11)Online publication date: 13-Jul-2024
  • (2024)High-Quality Facial Geometry and Appearance Capture at Home2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00073(697-707)Online publication date: 16-Jun-2024
  • (2024)Relightable Gaussian Codec Avatars2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00021(130-141)Online publication date: 16-Jun-2024
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
SIGGRAPH '10: ACM SIGGRAPH 2010 papers
July 2010
984 pages
ISBN:9781450302104
DOI:10.1145/1833349
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 July 2010

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Research-article

Conference

SIGGRAPH '10
Sponsor:

Acceptance Rates

SIGGRAPH '10 Paper Acceptance Rate 103 of 390 submissions, 26%;
Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)60
  • Downloads (Last 6 weeks)3
Reflects downloads up to 13 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2024)VRMM: A Volumetric Relightable Morphable Head ModelACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657406(1-11)Online publication date: 13-Jul-2024
  • (2024)High-Quality Facial Geometry and Appearance Capture at Home2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00073(697-707)Online publication date: 16-Jun-2024
  • (2024)Relightable Gaussian Codec Avatars2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00021(130-141)Online publication date: 16-Jun-2024
  • (2024)Strand-accurate multi-view facial hair reconstruction and trackingThe Visual Computer10.1007/s00371-024-03465-540:7(4713-4724)Online publication date: 14-Jun-2024
  • (2023)MUNCH: Modelling Unique 'N Controllable HeadsProceedings of the 16th ACM SIGGRAPH Conference on Motion, Interaction and Games10.1145/3623264.3624470(1-11)Online publication date: 15-Nov-2023
  • (2023)Towards Practical Capture of High-Fidelity Relightable AvatarsSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618138(1-11)Online publication date: 10-Dec-2023
  • (2023)Semantically Disentangled Variational Autoencoder for Modeling 3D Facial DetailsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.316666629:8(3630-3641)Online publication date: 1-Aug-2023
  • (2023)3D Face Reconstruction and Gaze Tracking in the HMD for Virtual InteractionIEEE Transactions on Multimedia10.1109/TMM.2022.315682025(3166-3179)Online publication date: 2023
  • (2023)Face to Face Augmented Reality - Broadening the Horizons of AR Communication2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)10.1109/ICECET58911.2023.10389393(1-5)Online publication date: 16-Nov-2023
  • (2023)Disjoint Pose and Shape for 3D Face Reconstruction2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)10.1109/ICCVW60793.2023.00336(3107-3117)Online publication date: 2-Oct-2023
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media