Contribution to the Prediction of Performances of the Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Hough transform: A hierarchical approach
Computer Vision, Graphics, and Image Processing
A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Evaluation of Quantization Error in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Natural Representations for Straight Lines and the Hough Transform on Discrete Arrays
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision
Hough transform theory and image processing experiments.
Hough transform theory and image processing experiments.
Performance Evaluation and Analysis of Vanishing Point Detection Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scalable Extrinsic Calibration of Omni-Directional Image Networks
International Journal of Computer Vision
Noncombinatorial Detection of Regular Repetitions under Perspective Skew
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vanishing Point Detection without Any A Priori Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Manhattan world: orientation and outlier detection by Bayesian inference
Neural Computation
Orientation in Manhattan: Equiprojective Classes and Sequential Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A straight line detection using principal component analysis
Pattern Recognition Letters
A New Solution to the Relative Orientation Problem Using Only 3 Points and the Vertical Direction
Journal of Mathematical Imaging and Vision
Simultaneous estimation of vanishing points and their converging lines using the EM algorithm
Pattern Recognition Letters
Calculating vanishing points in dual space
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Vanishing points in point-to-line mappings and other line parameterizations
Pattern Recognition Letters
Seeing double: reconstructing obscured typed input from repeated compromising reflections
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
Computer Vision and Image Understanding
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We propose a method to locate three vanishing points on an image, corresponding to three orthogonal directions of the scene. This method is based on two cascaded Hough transforms. We show that, even in the case of synthetic images of high quality, a naive approach may fail, essentially because of the errors due to the limitation of the image size. We take into account these errors as well as errors due to detection inaccuracy of the image segments, and provide a method efficient, even in the case of real complex scenes.