RGB-D Facial Dataset under Pose Variation

This dataset contains RGB-D facial images in different poses. It is used in the following paper:
- Luo Jiang, Juyong Zhang, Bailin Deng. Robust RGB-D Face Recognition Using Attribute-Aware Loss. arXiv: 1811.09847.

This RGB-D facial datasert is captured by PrimeSense camera in the same indoor scene and contains 24839 RGB-D images of 952 identities, where each identity also has corresponding attributes including gender, ethnicity, and age. The new dataset contains only young Asians with 30% male and 70% female, and covers pose with yaw ranging from left 90° to right 90°.
Terms of Non-Commercial Use:
Before you apply to download this dataset, there are a few key points that need to be agreed:
  • NON-COMMERCIAL USE: The license granted is for internal, non-commercial research, evaluation or testing purposes only. Any use of the DATA or its contents to manufacture or sell products or technologies (or portions thereof) either directly or indirectly for any direct or indirect for-profit purposes is strictly prohibited.
  • NO DISTRIBUTION: You are not allowed to sublicense or distribute the DATA in whole or in part to any third party.
  • CITATION: You agree to reference the publication "Robust RGB-D face recognition using attribute-aware loss".
To download this RGB-D dataset, in addition to agreeing to all terms of the license agreement, you must provide your real full name, institution, purpose, and valid e-mail address to juyong@ustc.edu.cn.
  author    = {Luo Jiang and Juyong Zhang and Bailin Deng},
  title     = {Robust {RGB-D} Face Recognition Using Attribute-Aware Loss},
  journal   = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume    = {42},
  number    = {10},
  pages     = {2552--2566},
  year      = {2020}
Please contact jluo@mail.ustc.edu.cn for questions about the dataset.
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