4896

A very fast census-based stereo matching implementation on a graphics processing unit

M. Weber, M. Humenberger, W. Kubinger
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}

}

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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.
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