GPU implementation of an anisotropic Huber-L1 dense optical flow algorithm using OpenCL

@article{Buyukaydin2015GPUIO,
  title={GPU implementation of an anisotropic Huber-L1 dense optical flow algorithm using OpenCL},
  author={Duygu Buyukaydin and Toygar Akg{\"u}n},
  journal={2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)},
  year={2015},
  pages={326-331}
}
Optical flow estimation aims at inferring a dense pixel-wise correspondence field between two images or video frames. It is commonly used in video processing and computer vision applications, including motion-compensated frame processing, extracting temporal features, computing stereo disparity, understanding scene context/dynamics and understanding behavior. Dense optical flow estimation is a computationally complex problem. Fortunately, a wide range of optical flow estimation algorithms are… CONTINUE READING

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