Using vanishing points for camera calibration
International Journal of Computer Vision
International Journal of Computer Vision
Contribution to the Determination of Vanishing Points Using Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vanishing Point Detection by Line Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Vanishing Point Detection without Any A Priori Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Metric Rectification for Perspective Images of Planes
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Manhattan World: Compass Direction from a Single Image by Bayesian Inference
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
An efficient detection of vanishing points using inverted coordinates image space
Pattern Recognition Letters
What can we learn about the scene structure from three orthogonal vanishing points in images
Pattern Recognition Letters
Efficient Edge-Based Methods for Estimating Manhattan Frames in Urban Imagery
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Interpreting perspective images
Artificial Intelligence
Line segment detection using weighted mean shift procedures on a 2D slice sampling strategy
Pattern Analysis & Applications
Lane detection by orientation and length discrimination
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper introduces a new method for the simultaneous computation of sets of lines meeting at multiple vanishing points through the use of the Expectation-Maximisation (EM) algorithm. The proposed method is based on the formulation of novel error functions in the projective plane between lines and points which involve the use of non-linear optimisation procedures that allow to treat equally finite and infinite vanishing points. These functions are included into the EM framework, which handles the multi-modality of the problem naturally with mixture models. Results show that the proposed method of joint computation of vanishing points and lines converging at such points enhances the robustness and the accuracy of locating these points.