3D hand reconstruction with binocular view

In the field of Human Computer Interaction (HCI) one of the important goals is designing better interfaces for improving interactions between human beings and computers. There are lots of approaches to address this problem. One of these approaches is interfacing using human hand gestures. The capturing and modeling of the gestures and articulations of the human hand is a challenging problem. There exist hardware and software solutions proposed to solve this problem. In this thesis, an inexpensive fast and effective method to stereo capture and create 3D hand model is proposed.The setup used for this thesis is; five different color markers and commodity hardware consists of two web cameras and a low cost laptop computer. In this thesis, starting with the stereo calibration of the cameras, capturing and tracking the color markers attached to the finger tips, leading 2D points of the finger tips, converting the 2D points to 3D points and calculating the finger articulations according to these 3D points and modeling the 3D hand have been accomplished, so the user can see his/her own hand?s articulation on the screen as a 3D hand model.