# Human10: A real-world human body dataset

### Introduction

**Human10** is a real-world human body dataset, which contains 10 4D sequences of human actions and 11748 frames in total.

For each frame, there are **depthmaps** and **masks** of 4 views along with corresponding **triangle meshs**. In addition, 4 fixed **camera calibration parameters** are provided in each sequence.

### Camera calibration parameters

`cameras.txt` in each sequence directory provides the intrinsic and extrinsic parameters of 4 fixed cameras. Below is the description of `cameras.txt`

```
4                                           // number of cameras
0                                           // the label of the camera
-0.043361 0.999036 0.006957 92.468169       // the 3x4 R & T matrix
0.999058 0.043345 0.002353 159.327891
0.002049 0.007053 -0.999973 2292.831589
747.60500     0.00000   516.97000           // the 3x3 K matrix
0.00000   746.88000   510.17000
0.00000     0.00000     1.00000
...

```


# Referencing the Dataset
Here are the Bibtex snippets for citing Human10 in your work.

```
@InProceedings{Cao_2018_ECCV,
  author = {Cao, Yan-Pei and Liu, Zheng-Ning and Kuang, Zheng-Fei and Kobbelt, Leif and Hu, Shi-Min},
  title = {Learning to Reconstruct High-quality 3D Shapes with Cascaded Fully Convolutional Networks},
  booktitle = {The European Conference on Computer Vision (ECCV)},
  month = {September},
  year = {2018}
}
```
