The MUCT database consists of 3755 faces with 76 manual landmarks.
The database was created to provide more diversity of lighting, age, and ethnicity
than currently available
landmarked 2D face databases.
Some examples are shown on the right (in low-resolution).
A full resolution image may be found
here.
@article{Milborrow10,
author={S. Milborrow and J. Morkel and F. Nicolls},
title={{The MUCT Landmarked Face Database}},
journal={Pattern Recognition Association of South Africa},
year=2010,
note={\url{http://www.milbo.org/muct}}
}
Download from GitHub.
If GitHub gives you "file truncated" message,
click on view the full file to download the file.
If you need camera calibration images please contact me.
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