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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
Data Format:
Research Article Link:
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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

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?

 

 

Yanling Chi Fri, 09/13/2024 - 02:27 Permalink

thanks for your generous sharing.

we would like to conduct research on this and benchmark with your datasets.

May we request for your datasets?

kristen chang Tue, 09/24/2024 - 04:18 Permalink

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