We have removed personal information from the database and made it open access. If you still need textures and other information, please contact us as before.
Link：https://pan.baidu.com/s/1_xXZ3HG9IMnmtN5cuH0o5g?pwd=caem Extract Code：caem
SIAT-3DFE: A High-Resolution 3D Facial Expression Dataset
SIAT-3DFE-CG:https://github.com/CIESIAT/SIAT-3DFE-CG
FaceRetargeting：https://github.com/confSmiPaper4/FacialRetargetingFrUnPC
@article{ye2020siat,
title={SIAT-3DFE: a high-resolution 3D facial expression dataset},
author={Ye, Yuping and Song, Zhan and Guo, Junguang and Qiao, Yu},
journal={IEEE Access},
volume={8},
pages={48205--48211},
year={2020},
publisher={IEEE}
}
@article{ye2022high,
title={High-fidelity 3D real-time facial animation using infrared structured light sensing system},
author={Ye, Yuping and Song, Zhan and Zhao, Juan},
journal={Computers \& Graphics},
volume={104},
pages={46--58},
year={2022},
publisher={Elsevier}
}
@article{ye2024retargeting,
title={Retargeting of facial model for unordered dense point cloud},
author={Ye, Yuping and Han, Juncheng and Liang, Jixin and Wu, Di and Song, Zhan},
journal={Computers \& Graphics},
pages={103972},
year={2024},
publisher={Elsevier}
}
In contrast with traditional low-resolution and low-accuracy 3D face related datasets, an accurate and dense facial expression database was introduced in this paper. During the period from January to June 2019, we have collected 8,000 3D facial expression models and 32,000 texture images from 500 subjects.
We make all data available for academic research purposes. However, as human face is very personal, we only send the data to approved researchers. To obtain a copy, please send an email to Corresponding author (zhan.song@siat.ac.cn)
(1) your name, title, affiliation (if you are a student, please ask your advisor to contact us)
(2) your intended use of the data
(3)The rights to copy, distribute, and use the data (including the texture images and 3D models) you are being given access to are under the control of corresponding author.
(4)A sample data can be found in last commit on branch master
(5)Data Processing code in python: https://github.com/PETMR/220913_SIAT (Fr Shanghai Jiao Tong University)