54
Proposal: Stereo-based Hand Gesture Tracking and Recognition.
•Camera Calibration.
•Stereo matching & reconstruction of the hand.
•Hand modeling.
•Initial pose of the hand model.
•Tracking of the hand.
•Building a gesture library.
•Gesture recognition.
•Selecting a task to measure the goodness of the system.
Here is our proposal, some of these points has been done, some are to be done, we will go and detail each of these points in the next slides, after we go through all the points, we will at the end advocate why we chose to use stereo matching in tracking and recognizing gestures and compare it to other methods that has been implemented in the litterature.

In order to create such a system, we need to implement and improve the following topics:
Camera Calibration.
Stereo matching and reconstruction of the hand
Hand modeling.
Initial Pose of the hand model.  (using the stereo reconstructed hand).
Tracking of the hand (that is determination of the position and orientation of the hand in real time).
Building a gesture library. Which is intuitive and easy for the user to use.
Gesture recognition and interaction with the 3D world by use of the tracked hand.

The remaining of our presentation will be taking each of these points in our proposal and talk about the competing method in the litterature, then our method describing the differences, advantages and disadvantages and so forth. We start with camera calibration: