The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Online modeling for realtime facial animation
Open accessAbstract
We present a new algorithm for realtime face tracking on commodity RGB-D sensing devices. Our method requires no user-specific training or calibration, or any other form of manual assistance, thus enabling a range of new applications in performance-based facial animation and virtual interaction at the consumer level. The key novelty of our approach is an optimization algorithm that jointly solves for a detailed 3D expression model of the user and the corresponding dynamic tracking parameters. Realtime performance and robust computations are facilitated by a novel subspace parameterization of the dynamic facial expression space. We provide a detailed evaluation that shows that our approach significantly simplifies the performance capture workflow, while achieving accurate facial tracking for realtime applications.
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Citations
Cites
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
Self-citation
Cited by
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
Thies, J., Zollhofer, M., Stamminger, M., Theobalt, C., & Niessner, M. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.262 · Cited by 1,747
Capture, Learning, and Synthesis of 3D Speaking Styles
Cudeiro, D., Bolkart, T., Laidlaw, C., Ranjan, A., & Black, M. J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.01034 · Cited by 365
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
Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction
Lee, G.-H., & Lee, S.-W. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.00614 · Cited by 70
Modality Dropout for Improved Performance-driven Talking Faces
Hussen Abdelaziz, A., Theobald, B.-J., Dixon, P., Knothe, R., Apostoloff, N., & Kajareker, S. (2020) · Proceedings of the 2020 International Conference on Multimodal Interaction · doi:10.1145/3382507.3418840 · Cited by 42
Metadata
- Authors
- Bouaziz, S., Wang, Y., & Pauly, M.
- Venue
- ACM Transactions on Graphics
- Published
- 2013-07-21
- Volume
- 32
- Issue
- 4
- Pages
- 1-10
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W1973757125
- Cited by
- 273
- References
- 1
- FWCI
- 28.25
- Type
- journal article
- Language
- en
- Open access
- green
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- Bouaziz, S., Wang, Y., & Pauly, M. (2013). Online modeling for realtime facial animation. ACM Transactions on Graphics. https://doi.org/10.1145/2461912.2461976
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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.
