Commit 1d030e7c authored by Andreas Bulling's avatar Andreas Bulling

Update README.md

parent 428df5cb
......@@ -4,8 +4,6 @@ Appearance-based gaze estimation methods that only require an off-the-shelf came
To democratize their use in HCI, we present OpenGaze, the first software toolkit that is specifically developed for gaze interface designers. OpenGaze is open source and aims to implement state-of-the-art methods for camera-based gaze estimation and interaction.
<a href="https://perceptual.mpi-inf.mpg.de/" target="_blank"><img src="https://github.molgen.mpg.de/perceptual/opengaze/blob/master/imgs/logo_pui.png" height="80"></a><img src="https://github.molgen.mpg.de/perceptual/opengaze/blob/master/imgs/logo_osaka-u.png" height="80">
## Functionality
The toolkit is capable of performing the following gaze-related tasks:
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<p>&nbsp;</p>
## Installation
[Unix Installation](https://github.molgen.mpg.de/perceptual/opengaze/wiki/Unix-Installation)
[Unix Installation](https://gitlab.hcics.simtech.uni-stuttgart.de/public-projects/opengaze/wikis/Unix-installation)
## Use
[Command line arguments](https://github.molgen.mpg.de/perceptual/opengaze/wiki/Command-line-arguments)
[Command line arguments](https://gitlab.hcics.simtech.uni-stuttgart.de/public-projects/opengaze/wikis/Command-line-arguments)
## Citation
**If you use any of the resources provided on this page in any of your publications, please cite the following paper:**
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Xucong Zhang, Yusuke Sugano, Andreas Bulling
Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2019
```
[arXiv](https://arxiv.org/abs/1901.10906)
[Project page](https://www.perceptualui.org/publications/zhang19_chi/)
@inproceedings{zhang19_chi,<br/>
title = {Evaluation of Appearance-Based Methods for Gaze-Based Applications},<br/>
......@@ -55,11 +53,11 @@ abstract = {Appearance-based gaze estimation methods that only require an off-th
## License
The license agreement can be found in Copyright.txt
The license agreement can be found in [LICENSE](https://gitlab.hcics.simtech.uni-stuttgart.de/public-projects/opengaze/LICENSE).
You have to respect boost, OpenFace and OpenCV licenses.
Furthermore, you have to respect the licenses of the datasets used for [model training](:https://github.molgen.mpg.de/perceptual/opengaze/wiki/Model-training).
Furthermore, you have to respect the licenses of the datasets used for [model training](https://gitlab.hcics.simtech.uni-stuttgart.de/public-projects/opengaze/wikis/Model-training).
## Code layout
* caffe-layers: Our customized layers for the Caffe library.
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