4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications

@article{Cheng20184DFABAL,
  title={4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications},
  author={Shiyang Cheng and Irene Kotsia and Maja Pantic and Stefanos Zafeiriou},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2018},
  pages={5117-5126}
}
The progress we are currently witnessing in many computer vision applications, including automatic face analysis, would not be made possible without tremendous efforts in collecting and annotating large scale visual databases. To this end, we propose 4DFAB, a new large scale database of dynamic high-resolution 3D faces (over 1,800,000 3D meshes). 4DFAB contains recordings of 180 subjects captured in four different sessions spanning over a five-year period. It contains 4D videos of subjects… CONTINUE READING

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