The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
High-quality single-shot capture of facial geometry
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.
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Cites
Multiple View Geometry in Computer Vision
Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
Scharstein, D., & Szeliski, R. (2002) · International Journal of Computer Vision · doi:10.1023/a:1014573219977 · Cited by 6,740
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
Seitz, S. M., Curless, B., Diebel, J., Scharstein, D., & Szeliski, R. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06) · doi:10.1109/cvpr.2006.19 · Cited by 2,457
Poisson Surface Reconstruction
Kazhdan, M. M., Bolitho, M., & Hoppe, H. (2006) · doi:10.2312/sgp/sgp06/061-070 · Cited by 2,125
Discrete Differential-Geometry Operators for Triangulated 2-Manifolds
Meyer, M., Desbrun, M., Schröder, P., & Barr, A. H. (2003) · Mathematics and Visualization · doi:10.1007/978-3-662-05105-4_2 · Cited by 1,889
Accurate, Dense, and Robust Multi-View Stereopsis
Furukawa, Y., & Ponce, J. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2007.383246 · Cited by 692
Efficiently combining positions and normals for precise 3D geometry
Nehab, D., Rusinkiewicz, S. M., Davis, J., & Ramamoorthi, R. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073226 · Cited by 416
Real-Time Visibility-Based Fusion of Depth Maps
Merrell, P., Akbarzadeh, A., Wang, L., Mordohai, P., Frahm, J.-M., Yang, R., Nister, D., & Pollefeys, M. (2007) · 2007 IEEE 11th International Conference on Computer Vision · doi:10.1109/iccv.2007.4408984 · Cited by 358
Automatic determination of facial muscle activations from sparse motion capture marker data
Sifakis, E., Neverov, I., & Fedkiw, R. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073208 · Cited by 312
Rapid Acquisition of Specular and Diffuse Normal Maps from Polarized Spherical Gradient Illumination
Ma, W., Hawkins, T., Peers, P., Chabert, C.-F., Weiss, M., & Debevec, P. E. (2007) · RWTH Publications (RWTH Aachen) · Cited by 304
Cited by
3D Morphable Face Models—Past, Present, and Future
Egger, B., Smith, W. A. P., Tewari, A., Wuhrer, S., Zollhoefer, M., Beeler, T., Bernard, F., Bolkart, T., Kortylewski, A., Romdhani, S., et al. (2020) · ACM Transactions on Graphics · doi:10.1145/3395208 · Cited by 448
Self-citationStatic and dynamic 3D facial expression recognition: A comprehensive survey
Sandbach, G., Zafeiriou, S., Pantic, M., & Yin, L. (2012) · Image and Vision Computing · doi:10.1016/j.imavis.2012.06.005 · Cited by 357
Realtime performance-based facial animation
Weise, T., Bouaziz, S., Li, H., & Pauly, M. (2011) · ACM Transactions on Graphics · doi:10.1145/2010324.1964972 · Cited by 356
High resolution passive facial performance capture
Bradley, D., Heidrich, W., Popa, T., & Sheffer, A. (2010) · ACM Transactions on Graphics · doi:10.1145/1778765.1778778 · Cited by 233
Total Moving Face Reconstruction
Suwajanakorn, S., Kemelmacher-Shlizerman, I., & Seitz, S. M. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10593-2_52 · Cited by 93
Metadata
- Authors
- Beeler, T., Bickel, B., Beardsley, P., Sumner, B., & Gross, M.
- Venue
- ACM Transactions on Graphics
- Published
- 2010-07-26
- Volume
- 29
- Issue
- 4
- Pages
- 1-9
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2102924784
- Cited by
- 313
- References
- 27
- FWCI
- 26.90
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: High-quality single-shot capture of facial geometry. https://app.cochat.ai/papers/10.1145/1778765.1778777
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- Beeler, T., Bickel, B., Beardsley, P., Sumner, B., & Gross, M. (2010). High-quality single-shot capture of facial geometry. ACM Transactions on Graphics. https://doi.org/10.1145/1778765.1778777
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
