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
Sequential Updating of Projective and Affine Structure from Motion
International Journal of Computer Vision
On the Inverse Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume II
A Hough Transform-Based Method for Radial Lens Distortion Correction
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
A moving planar mirror based approach for cultural reconstruction: Research Articles
Computer Animation and Virtual Worlds - Special Issue: The Very Best Papers from CASA 2004
Detailed 3D Reconstruction of Large-Scale Heritage Sites with Integrated Techniques
IEEE Computer Graphics and Applications
Practical modeling technique for large-scale 3D building models from ground images
Pattern Recognition Letters
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In this paper, a 3D city model generation method is described. At first, the ground images around the area of interest are acquired using a camera mounted on a GPS device and digital compass, which provide the initial inaccurate pose of each image. An adjacency graph that spatially represents the adjacency between images or buildings is built to handle efficiently a huge number of unordered image sequences. A set of images with views of the same building is automatically grouped, and an optimization algorithm based on SFM corrects their poses. Finally, a method of global pose estimation is outlined that can register 3D isolated building models in a global coordinate system. We validate our approach with a set of experiments on some urban sites.