Fast and Efficient Dense Variational Stereo on GPU

@article{Mairal2006FastAE,
  title={Fast and Efficient Dense Variational Stereo on GPU},
  author={Julien Mairal and Renaud Keriven and Alexandre Chariot},
  journal={Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)},
  year={2006},
  pages={97-104}
}
Thanks to their high performance and programmability, the latest graphics cards can now be used for scientific purpose. They are indeed very efficient parallel single instruction multiple data (SIMD) machines. This new trend is called general purpose computation on graphics processing unit (GPGPU). Regarding the stereo problem, variational methods based on deformable models provide dense, smooth and accurate results. Nevertheless, they prove to be slower than usual disparity-based approaches… CONTINUE READING
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