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 (this was taken from a preliminary version and will be updated with a newer version soon).

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
  • We recommend to use a windows installer (vc14, x64)
• Boost C++ Libraries ver. >1.62
  • We recommend to use a windows installer (boost_1_62_0-msvc-14.0-64.exe)

To setup your own Visual Studio project, you need to use CMake. You can find a windows installer here.

1. Clone the repository [email protected]: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)

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:

		case InputMode::CAMERA_MONO:
			eyecams[0]=std::make_unique<eyecamera::EyeCameraDS>("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:

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

This program integrated/modified several existing codes. Especially,

• 2D pupil detection code by Jason Orlosky
• 3D eye model optimization code (./singleeyefitter) by Leszek Swirski