C3I SYNTHETIC FACE DEPTH DATASET

Citation Author(s):
Shubhajit
Basak
Faisal
Khan
Hossein
Javidnia
Rachel
McDonnell
Michael
Schukat
Peter
Corcoran
Submitted by:
Shubhajit Basak
Last updated:
DOI:
10.21227/ath9-br59
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Abstract 

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-folders contain 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

 

Funding Agency: 
Science Foundation Ireland Centre for Research Training in Digitally-Enhanced Reality (d-real) under Grant 18/CRT/6224