Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Extracting buildings from aerial images using hierachical aggregation in 2D and 3D
Computer Vision and Image Understanding
Detection and Modeling of Buildings from Multiple Aerial Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive Construction of 3D Models from Panoramic Mosaics
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Recognition and reconstruction of buildings from multiple aerial images
Computer Vision and Image Understanding
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We present a method for inferring and enforcing geometrical constraints on an approximate 3D model for building reconstruction applications. Compared to previous works, this approach requires no user intervention for constraints definition, is inherently compliant with the detected constraints and handles over-constrained configurations. An iterative minimization is applied to search for the model subject to geometric constraints that minimizes the distance to the initial approximate model. Results on real data show the gain obtained by this algorithm.