Geometry-Aware Learning of Maps for Camera Localization
CVPR, pp. 2616-2625, 2018.
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