Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images

ECCV 2018 Keisuke TatenoNassir NavabFederico Tombari

There is a high demand of 3D data for 360° panoramic images and videos, pushed by the growing availability on the market of specialized hardware for both capturing (e.g., omnidirectional cameras) as well as visualizing in 3D (e.g., head mounted displays) panoramic images and videos. At the same time, 3D sensors able to capture 3D panoramic data are expensive and/or hardly available... (read more)

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