Three-Dimensional Reconstruction of Points and Lines with Unknown Correspondence across Images
International Journal of Computer Vision
Ascender II, a Visual Framework for 3D Reconstruction
ICVS '99 Proceedings of the First International Conference on Computer Vision Systems
Decision Making and Uncertainty Management in a 3D Reconstruction System
IEEE Transactions on Pattern Analysis and Machine Intelligence
GPU-accelerated hierarchical dense correspondence for real-time aerial video processing
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
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A system has been developed to acquire, extend and refine 3D geometric site models from aerial imagery. This system hypothesizes potential building roofs in an image, automatically locates supporting geometric evidence in other images, and determines the precise shape and position of the new buildings via multiimage triangulation. Model-to-image registration techniques are applied to align new, incoming images against the site model. Model extension and refinement procedures are then performed to add previously unseen buildings and to improve the geometric accuracy of the existing 3D building models.