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Found 3 papers, 1 papers with code
OmniFlow: Human Omnidirectional Optical Flow
To verify the data for training volumetric correspondence networks for optical flow estimation we train different subsets of the data and test on OmniFlow with and without Test-Time-Augmentation.
Improved Person Detection on Omnidirectional Images with Non-maxima Suppression
For this purpose we fine-tuned the soft non-maximum suppression with Gaussian smoothing.
Cubes3D: Neural Network based Optical Flow in Omnidirectional Image Scenes
We investigate CNN architectures to determine high motion variations caused by the geometry of fish-eye images.
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