High-resolution stereo video rectification through a cost-efficient real-time GPU implementation using intrinsic and extrinsic camera parameters
LAMPA, Arts et Metiers ParisTech, Angers
IEEE Workshop on Computational Intelligence in Virtual Environments, 2009. CIVE ’09
@inproceedings{goslin2009high,
title={High-resolution stereo video rectification through a cost-efficient real-time GPU implementation using intrinsic and extrinsic camera parameters},
author={Goslin, F. and Schramm, F. and Andriot, C. and Bouchet, A. and Richir, S.},
booktitle={Computational Intelligence in Virtual Environments, 2009. CIVE’09. IEEE Workshop on},
pages={7–13},
year={2009},
organization={IEEE}
}
This paper describes a method to correct the distortions in the images captured by a stereo video camera rig. We developed a code which can be implemented both on CPUs and GPUs which are used respectively to process still images or videos. The processing scheme is centered on the pre-calculation of a deformation texture, based on the physical properties of the camera setup (intrinsic parameters). The pre-calculated texture contains deformation parameters for each pixel. The GPU implementation of our method is cost-efficient in terms of computer resources and can therefore be used to rectify high-resolution image pairs in real-time. Moreover, due to the pre-computation step, any camera model of arbitrary complexity can be used without impacting the execution frame rate.
May 17, 2011 by hgpu
