Geometry-Aware Learning of Maps for Camera Localization

CVPR 2018 Samarth BrahmbhattJinwei GuKihwan KimJames HaysJan Kautz

Maps are a key component in image-based camera localization and visual SLAM systems: they are used to establish geometric constraints between images, correct drift in relative pose estimation, and relocalize cameras after lost tracking. The exact definitions of maps, however, are often application-specific and hand-crafted for different scenarios (e.g. 3D landmarks, lines, planes, bags of visual words)... (read more)

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