A very fast census-based stereo matching implementation on a graphics processing unit
AIT Austrian Inst. of Technol. GmbH, Vienna, Austria
IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops), 2009
@inproceedings{weber2009very,
title={A very fast census-based stereo matching implementation on a graphics processing unit},
author={Weber, M. and Humenberger, M. and Kubinger, W.},
booktitle={Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on},
pages={786–793},
year={2009},
organization={IEEE}
}
In this paper a very fast graphics processing unit implementation of a local, census-correlation-based stereo matching algorithm is presented. In comparison to absolute or squared difference correlation techniques, the census transform is computational more expensive which led to the motivation of a GPU-based implementation. Due to the parallel architecture of modern graphics cards, complex algorithms can be executed very efficiently. Thus, this work deals with the question how to use a GPU for high speed and high quality stereo matching. The proposed implementation achieves 75.7 fps at an image resolution of 640 x 480 and a disparity search range of 50 on a NVIDIA GeForce GTX 280 graphics card.
July 27, 2011 by hgpu
