Photo-Realistic 3D Visualization of Urban Building with Vector Map, Lidar Point and Close-Range Image

This paper describes general framework photo-realistic 3D visualization of urban building with digital map, Lidar point and close-range image in photogrammetry community. First, Vanish Point (VP) geometry deduced from classic photogrammetry co-linear equation is used to obtain camera Interior Of Parameter (IOP) using groups of mutually orthogonal space lines appeared in buildings; Next, "line photogrammetry" is introduced to precisely reconstruct building geometrical model. To this end, coarse building geometry model is generated from digital map and Lidar point, and further refined with constrains from abundant image line features; After that, texture for each building facet is well reconstructed by applying photogrammetry differential rectification to eliminate texture distortion due to inherent perspective projection and detecting texture elements to remove occlusion as well; Finally, experiment is presented by integrating digital map with low-altitude aerial video image strips for photo-realistic 3D visualization of building. Contributions are also concluded.