Search Results for "eye"

OpenFace is an advanced facial behavior analysis toolkit intended for computer vision and machine learning researchers, those in the affective computing community, and those who are simply interested in creating interactive applications based on facial behavior analysis. The OpenFace toolkit is capable of performing several complex facial analysis tasks, including facial landmark detection, eye-gaze estimation, head pose estimation and facial action unit recognition. OpenFace is able to deliver state-of-the-art results in all of these mentioned tasks. OpenFace is available for Windows, Ubuntu and macOS installations. It is capable of real-time performance and does not need to run on any specialist hardware, a simple webcam will suffice.

Visage is a human computer interface that aims to replace the traditional mouse with the face. Using a webcam and Visage the movement of the face becomes the movement of the mouse pointer. Left/right Eye blinks fire left/right mouse click events.

The tools in this project are used by the Virtual Reality lab at University of Texas at Austin to record the stream of rendered images (OpenGL) and combine them with eye tracking data (if eyes are being tracked) and user defined metadata. The project is split into two parts. DVR is used to record the data stream as a QuickTime movie. The RVD is used to read the movie recorded by the DVR. Acknowledgements: John Stone - created most of the code base Gabriel Diaz and Joseph Cooper - QA Dmitry Kit - Maintainer/QA Dr. ...

LEA is a lightweight eyetracking algorithm library (hence the name) written in and for Java. LEA is able to track eye movements with an ordinary webcam and returns relative movements (up, down, ...). It is also able to compensate for slight head motions.