ML Anthology

FaceCept3D: Real Time 3D Face Tracking and Analysis

Sergey Tulyakov, Radu-Laurentiu Vieriu, Enver Sangineto, Nicu Sebe
ICCVW 2015 pp. 28-33
doi:10.1109/ICCVW.2015.13 /iccvw/2015/tulyakov2015iccvw-facecept3d/

Abstract

We present an open source cross platform technology for 3D face tracking and analysis. It contains a full stack of components for complete face understanding: detection, head pose tracking, facial expression and action units recognition. Given a depth sensor, one can combine FaceCept3D modules to fulfill a specific application scenario. Key advantages of the technology include real time processing speed and ability to handle extreme head pose variations. Possible application areas of the technology range from human computer interaction to active aging, where precise and real-time analysis is required. The technology is available to community.

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Cite

Text

Tulyakov et al. "FaceCept3D: Real Time 3D Face Tracking and Analysis." IEEE/CVF International Conference on Computer Vision Workshops, 2015. doi:10.1109/ICCVW.2015.13

Markdown

[Tulyakov et al. "FaceCept3D: Real Time 3D Face Tracking and Analysis." IEEE/CVF International Conference on Computer Vision Workshops, 2015.](https://mlanthology.org/iccvw/2015/tulyakov2015iccvw-facecept3d/) doi:10.1109/ICCVW.2015.13

BibTeX

@inproceedings{tulyakov2015iccvw-facecept3d,
  title     = {{FaceCept3D: Real Time 3D Face Tracking and Analysis}},
  author    = {Tulyakov, Sergey and Vieriu, Radu-Laurentiu and Sangineto, Enver and Sebe, Nicu},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2015},
  pages     = {28-33},
  doi       = {10.1109/ICCVW.2015.13},
  url       = {https://mlanthology.org/iccvw/2015/tulyakov2015iccvw-facecept3d/}
}