CPhoto@FIT, Brno University of Technology, Czech Republic
Keywords: LOCATE, visual localization, vision based localization, image geolocation, visual odometry, geo-localization, geo-tagging, image to model registration, Terrain-Aided Navigation (TAN), Terrain Referenced Navigation (TRN), vision based navigation, correlating measured terrain with digital terrain model, 3D alignment, re-photography, cross-domain registration, extrinsic calibration, 6 dof, photograph peak tagging, automatic geo-registration, camera pose estimation
Project LOCATE deals with localization in natural environments. The aim is to accurately find the location and orientation of the camera which captured the image. We introduce a system for automatic alignment of the query photo with a geo-referenced 3D terrain model. We propose a new alignment metric to accurately predict the camera orientation succeeding the large-scale visual localization step. Having a sufficiently accurate match between a photograph and a 3D model offers new possibilities for image enhancement. It can be used to transform photographs into a realistic virtual 3D experience, e.g. to automatically highlight elements in the image, such as the travel path taken, names of mountains, or other landmarks. Furthermore, the synthetic depth map, and/or the whole 3D model of the queried photo, can be used for novel view synthesis, image relighting, dehazing or refocusing.
|Last changes: 04/2016, Martin Čadík.|