# 3D-Eye-Tracker
**Repository Path**: tonyLX/ThreeD-Eye-Tracker
## Basic Information
- **Project Name**: 3D-Eye-Tracker
- **Description**: Yuta Itoh的眼部跟踪算法
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 1
- **Created**: 2024-03-21
- **Last Updated**: 2024-03-21
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# 3D Eye Tracker
This software aims to provide an easy-to-compile C++ implementation of a 3D eye-tracking method.
Our software is designed for a wearable eye-tracking scnenario where a user wears a headset with an eye camera(s) that is equipped with infrared (IR) illuminations. The camera can capture close-up shots of the user's eyes.

With this software, you can obtain the following information:
* 3D information:
* Gaze (normal) vector
* Eyeball center w.r.t the camera
* Pupil diameter [m]
* 2D information:
* Pupil ellipse size [pixel] and angle [deg.]
* (Glint position(s) [pixel], to be merged soon...)
[Sample video on youtube](https://www.youtube.com/watch?v=EH6UVQZgvJE) (this was taken from a preliminary version and will be updated with a newer version soon).
## Prerequisite
Currently, the software is compatible with Visual Studio 2015. The test was done on a 64bit Windows 10 machine only.
Most of external libraries (for vc14, x64) are bundled in `./external`, yet you still need to
install the following two libraries:
* [OpenCV 3.1](http://opencv.org/downloads.html)
* We recommend to use [***a windows installer***](http://sourceforge.net/projects/opencvlibrary/files/opencv-win/3.1.0/opencv-3.1.0.exe/download) (vc14, x64)
* [Boost C++ Libraries ver. >1.62](https://sourceforge.net/projects/boost/files/boost-binaries/1.62.0/)
* We recommend to use [***a windows installer***](https://sourceforge.net/projects/boost/files/boost-binaries/1.62.0/boost_1_62_0-msvc-14.0-64.exe/download) (boost_1_62_0-msvc-14.0-64.exe)
To setup your own Visual Studio project, you need to use [CMake](https://cmake.org/). You can find a windows installer [here](https://cmake.org/download/).
## How to compile
1. Clone the repository `git@github.com:YutaItoh/3D-Eye-Tracker.git` to your local folder (e.g., `/your-local-path/3D-Eye-Tracker`)
2. Open `./CMakeLists.txt` and edit the OpenCV path and the Boost path depending on your environment. For example, the default values are as follows:
* `set(BOOST_ROOT "C:/SDK/boost_1_62_0")`
* `set(OpenCV_DIR "C:/SDK/opencv-3.1.0/build")`
3. Start CMake GUI and set a source code path (e.g., `/your-local-path/3D-Eye-Tracker`) and a project build path (e.g., `/your-local-path/3D-Eye-Tracker/build_vc14_x64`)
4. Press `Generate` buttons, then choose a right build environment (Visual Studio 14 2015 Win64)
5. Open `3d_eye_tracker.sln` in the build folder, and compile `main` project (recommend to set it as a startup project)
## How to run
The default setting uses a sinlge camera via the DirectShow filter. Check your camera name on a video capture program (e.g., Skype) and set the name in `main.cpp`:
``` c++
case InputMode::CAMERA_MONO:
eyecams[0]=std::make_unique("Pupil Cam1 ID0");
```
In this case, the program tries to find a camera named `"Pupil Cam1 ID0"`.
Once the program started, it initializes a 3D eye model from 2D pupil observatios:
In this initialization step, a user needs to smoothly rotate his/her eye to capture various 2D shapes of the eye.
After the step, we get 3D eye tracking:
### Tips:
Some debug keys are pre-assigned for a better control of the software:
* `p`: Takes some more 2D pupil observations. Useful when estimated 3D eye model is incorrect due to not-well-distributed 2D observations
* `r`: Resets the 3D eye model and 2D observations and restarts the initialization step
* `ESC`: Exit the program
# Acknowledgements
This program integrated/modified several existing codes. Especially,
* [2D pupil detection code](https://github.com/YutaItoh/3D-Eye-Tracker/blob/master/main/pupilFitter.h) by [Jason Orlosky](http://www.jeoresearch.com/research)
* [3D eye model optimization code](https://github.com/LeszekSwirski/singleeyefitter) (./singleeyefitter) by Leszek Swirski