360(o) Camera Alignment via Segmentation

ECCV 2020 Benjamin DavidsonMohsan S. AlviJoão F. Henriques

Panoramic 360º images taken under unconstrained conditions present a significant challenge to current state-of-the-art recognition pipelines, since the assumption of a mostly upright camera is no longer valid. In this work, we investigate how to solve this problem by fusing purely geometric cues, such as apparent vanishing points, with learned semantic cues, such as the expectation that some visual elements (e.g. doors) have a natural upright position... (read more)

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