Title :
Stereo Camera Tracking for Mobile Devices
Author :
Gasparini, Simone ; Bertolino, Pascal
Author_Institution :
GIPSA-Lab., Univ. de Grenoble, St. Martin d´Hères, France
Abstract :
We present our current work on a camera tracking algorithm designed for a mobile device equipped with a stereo camera. The tracker runs in real-time on a prototype mobile platform and it can be used as the core engine of augmented reality applications. In order to cope with the limited resources available, we design an algorithm that relies on the stereo camera only for the 3D reconstruction of points, while the point tracking is performed only on one of the two images, thus reducing the computational effort. We show some preliminary results in which the camera tracker as been validated in a realistic scenario and it is proved to have an adequate robustness for an augmented reality application.
Keywords :
augmented reality; cameras; image reconstruction; mobile handsets; object tracking; stereo image processing; 3D image reconstruction; augmented reality application; prototype mobile device platform; stereo camera tracking; Cameras; Feature extraction; Image reconstruction; Mobile handsets; Stereo image processing; Three-dimensional displays; Tracking; Augmented reality; Camera tracking; Computer vision application; Mobile devices; Stereo camera;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on
Conference_Location :
Portland, OR
DOI :
10.1109/CVPRW.2013.7