Computer Vision and Image Understanding
On the Fitting of Surfaces to Data with Covariances
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Optimization for Geometric Computation: Theory and Practice
Statistical Optimization for Geometric Computation: Theory and Practice
Constrained Structure and Motion From Multiple Uncalibrated Views of a Piecewise Planar Scene
International Journal of Computer Vision
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
The geometric error for homographies
Computer Vision and Image Understanding
Unified Computation of Strict Maximum Likelihood for Geometric Fitting
Journal of Mathematical Imaging and Vision
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
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We present a new algorithm for optimally computing from point correspondences over two images their 3-D positions when they are constrained to be on a planar surface. We consider two cases: the case in which the plane and camera parameters are known and the case in which they are not. In the former, we show how observed point correspondences are optimally corrected so that they are compatible with the homography between the two images determined by the plane and camera parameters. In the latter, we show how the homography is optimally estimated by iteratively using the triangulation procedure.