Abstract : A novel algorithm for head−tracking based on stereo is presented in this paper. Employing stereo vision makes the tracker robust to many factors such as clutter, color and lighting variations, that affect contemporary head trackers. The head is modeled as an ellipse and tracking is performed on the foreground obtained by modeling depth. This is facilitated by using stereo vision. Fur...

This paper presents a new color-lighting/stereo method for 3D range data acquisition by combining color structured lighting and stereo vision. A major advantage of using stereo vision together with color stripes lighting is that there is no need to solve the problem of finding the correspondence between the color stripes projected by the light source and the color stripes observed in the images...

In this paper we propose a method which uses motion in the field of view of two un-calibrated cameras to produce a disparity map relative to the cameras. Current stereo vision initialisation techniques focus on time consuming manual calibration of stereo cameras. This research demonstrates the use of a novel algorithm which uses motion to determine conjugate pairs of points. The disparity map i...