The UoY 3D face dataset is a set of 3D images of the human face and consists of around 5000 3D images of approximately 350 people (15 models each). The data collection was planned and implemented by Tom Heseltine during his PhD in 3D Face Recognition at the Department of Computer Science, University of York. The data is in OBJ format with BMP textures and is available online for download by request. The dataset is free for research, and is subject to the non-commercial restrictions. Academics may complete this user agreement form. The download file is a compressed tarball (UoYfaces.tar.gz), with file size 5.4GB, which will be shared using Google drive (so please supply a Gmail address or address linked to a Google account).
Please cite the following paper if you publish results using the UoY face dataset:
The table below shows the capture conditions for each subject in the database.
|
ID |
Description |
|
01 |
Front facing, neutral expression, optimum
distance from camera (1.7m from unit to nose tip) |
|
02 |
Neutral expression, (whole body) facing roughly 45
degrees left |
|
03 |
Neutral expression, (whole body) left side
profile (90 degrees left) |
|
04 |
Neutral expression, (whole body) facing roughly 45
degrees right. |
|
05 |
Neutral expression, (whole body) right side
profile (90 degrees right) |
|
06 |
Neutral expression, facing roughly 45 degrees up. |
|
07 |
Neutral expression, facing roughly 45 degrees down. |
|
08 |
Front facing, smiling (Happiness level 1). |
|
09 |
Front facing, eyes closed. |
|
10 |
Front facing, angry expression (Anger level
1). |
|
11 |
Front facing, neutral expression. |
|
12 |
Front facing, eyebrows raised. |
|
13 |
Front facing, mouth slightly parted. |
|
14 |
Front facing, neutral expression, no glasses. |
|
15 |
Front facing, neutral expression, no glasses, further
away from the camera (1.9m from unit to nose tip). |
Some snap-shot examples of these 3D models are shown below (please note that the numbers do not correspond to those in the table above).
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| 00030-01-mww23nnngy | 00032-01-mww36nnngy | 00033-14-moo46bnngy | 00034-01-mww39nnngy | 00037-01-mww47bnngy | 00039-01-mac40ngngy |
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| 00042-01-mww39ngngy | 00052-01-mww50bnngn | 00053-01-mww23nnngy | 00054-01-mww22nnngy | 00055-01-mao00nnngn | 00066-01-fww51nnngn |
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| 00067-01-mww34ngngy | 00068-01-fww44nnngy | 00070-14-mww38nnngy | 00074-01-mww35nnngy | 00081-01-mww49nnngy | 00104-01-mac46nnngy |
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