3993

High-resolution stereo video rectification through a cost-efficient real-time GPU implementation using intrinsic and extrinsic camera parameters

F. Goslin, F. Schramm, C. Andriot, A. Bouchet, S. Richir
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}

}

Source Source   

553

views

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.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2017 hgpu.org

All rights belong to the respective authors

Contact us: