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Face identification across different poses and illuminations with a 3D morphable model
Abstract
We present a novel approach for recognizing faces in images taken from different directions and under different illumination. The method is based on a 3D morphable face model that encodes shape and texture in terms of model parameters, and an algorithm that recovers these parameters from a single image of a face. For face identification, we use the shape and texture parameters of the model that are separated from imaging parameters, such as pose and illumination. In addition to the identity, the system provides a measure of confidence. We report experimental results for more than 4000 images from the publicly available CMU-PIE database.
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Cited by
FSGAN: Subject Agnostic Face Swapping and Reenactment
Nirkin, Y., Keller, Y., & Hassner, T. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00728 · Cited by 706
DeepFake Detection Based on Discrepancies Between Faces and Their Context
Nirkin, Y., Wolf, L., Keller, Y., & Hassner, T. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3093446 · Cited by 312
Efficient, robust and accurate fitting of a 3D morphable model
Romdhani, & Vetter (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238314 · Cited by 189
Self-supervised learning of a facial attribute embedding from video
Wiles, O., Koepke, A. S., & Zisserman, A. (2018) · arXiv · doi:10.48550/arxiv.1808.06882 · Cited by 111
Juefei-Xu, F., Luu, K., & Savvides, M. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2468173 · Cited by 74
Metadata
- Authors
- Blanz, V., Romdhani, S., & Vetter, T.
- Venue
- Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition
- Publisher
- IEEE
- Published
- 2003-06-25
- Pages
- 202-207
- OpenAlex
- W2120420721
- Cited by
- 297
- References
- 0
- FWCI
- 26.65
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Blanz, V., Romdhani, S., & Vetter, T. (2003). Face identification across different poses and illuminations with a 3D morphable model. Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition. https://doi.org/10.1109/afgr.2002.1004155
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