Stereo Camera Tracking for Mobile Devices

Simone Gasparini, Pascal Bertolino; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2013, pp. 14-19

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.

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[bibtex]
@InProceedings{Gasparini_2013_CVPR_Workshops,
author = {Gasparini, Simone and Bertolino, Pascal},
title = {Stereo Camera Tracking for Mobile Devices},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2013}
}