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Conference Paper

Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data

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Janai,  Joel
Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Güney,  Fatma
Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Wulff,  Jonas
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Black,  Michael J.
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Geiger,  Andreas
Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Janai, J., Güney, F., Wulff, J., Black, M. J., & Geiger, A. (2017). Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (pp. 1406-1416). Piscataway, NJ: IEEE. doi: 10.1109/CVPR.2017.154.


Cite as: https://hdl.handle.net/21.11116/0000-0000-FD13-E
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