SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images

ECCV 2018 Benjamin CoorsAlexandru Paul ConduracheAndreas Geiger

Omnidirectional cameras offer great benefits over classical cameras wherever a wide field of view is essential, such as in virtual reality applications or in autonomous robots. Unfortunately, standard convolutional neural networks are not well suited for this scenario as the natural projection surface is a sphere which cannot be unwrapped to a plane without introducing significant distortions, particularly in the polar regions... (read more)

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