Using vanishing points for camera calibration
International Journal of Computer Vision
Canonical representations for the geometries of multiple projective views
Computer Vision and Image Understanding
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
Lines and Points in Three Views and the Trifocal Tensor
International Journal of Computer Vision
3-D reconstruction of urban scenes from image sequences
Computer Vision and Image Understanding - Special issue on CAD-based computer vision
Estimation of Relative Camera Positions for Uncalibrated Cameras
ECCV '92 Proceedings of the Second European Conference on Computer Vision
3D Model Acquisition from Extended Image Sequences
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
3-D Scene Data Recovery using Omnidirectional Multibaseline Stereo
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Metric Rectification for Perspective Images of Planes
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Interactive Construction of 3D Models from Panoramic Mosaics
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Toward Image-Based Scene Represenatation Using View Morphing
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Constructing Virtual Worlds Using Dense Stereo
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
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In this paper we consider the problem of reconstructing architectural scenes from multiple photographs taken from arbitrarily viewpoints. The original contribution of this work is the use of a map as a source of a priori knowledge and geometric constraints in order to obtain in a fast and simple way a detailed model of a scene. We suppose images are uncalibrated and have at least one planar structure as a façade for exploiting the planar homography induced between world plane and image to calculate a first estimation of the projection matrix. Estimations are improved by using correspondences between images and map. We show how these simple constraints can be used to calibrate the cameras, to recover the projection matrices for each viewpoint, and to obtain 3D models by using triangulation.