Geometry-Aware Learning of Maps for Camera Localization

    CVPR, pp. 2616-2625, 2018.

    Cited by: 23|Bibtex|Views12|Links
    EI

    Abstract:

    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 s...More

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