C3I SYNTHETIC FACE DEPTH DATASET
- Citation Author(s):
- Shubhajit Basak
Faisal KhanHossein JavidniaRachel McDonnellMichael SchukatPeter Corcoran - Submitted by:
- Shubhajit Basak
- Last updated:
- DOI:
- 10.21227/ath9-br59
- Data Format:
- Research Article Link:
1788 viewsAbstract
The C3I Synthetic Face Depth Dataset consists of 3D virtual human models and 2D rendered RGB and GT depth images in zipped version into two folders for male and female. The male and female sub-folderscontain 56 and 44 subjects, respectively. For the three types of backgrounds – simple, textured, and complex – these subjects are stored in three different paths. The simple and texture path are divided into five main directories corresponding to five different expressions (happy, sad, neutral, scared, and angry), each of which contains the RGB images in JPG, depth images in PNG, and raw head pose data in TXT and raw depth data in EXR format for each frame. The complex directory is divided into two main folders, classroom and barbershop, which have the same structure as the simple and textured folders.
Instructions:
Data preprocessing anf depth estimation code can be found in -
https://github.com/khan9048/Facial_depth_estimation
I am working on facial recogniation application
thanks for your great work and sharing.
we would like conduct research on this and benchmark with your datasets.
May we request for the datasets?
thanks for your generous sharing.
we would like to conduct research on this and benchmark with your datasets.
May we request for your datasets?
