Robust Real-Time 3D Face Tracking from RGBD Videos under Extreme Pose, Depth, and Expression Variation

Hai Xuan Pham, Vladimir Pavlovic. Robust Real-Time 3D Face Tracking from RGBD Videos under Extreme Pose, Depth, and Expression Variation. In Fourth International Conference on 3D Vision, 3DV 2016, Stanford, CA, USA, October 25-28, 2016. pages 441-449, IEEE Computer Society, 2016. [doi]

@inproceedings{PhamP16-3,
  title = {Robust Real-Time 3D Face Tracking from RGBD Videos under Extreme Pose, Depth, and Expression Variation},
  author = {Hai Xuan Pham and Vladimir Pavlovic},
  year = {2016},
  doi = {10.1109/3DV.2016.54},
  url = {http://doi.ieeecomputersociety.org/10.1109/3DV.2016.54},
  researchr = {https://researchr.org/publication/PhamP16-3},
  cites = {0},
  citedby = {0},
  pages = {441-449},
  booktitle = {Fourth International Conference on 3D Vision, 3DV 2016, Stanford, CA, USA, October 25-28, 2016},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5090-5407-7},
}