An efficient detection of vanishing points using inverted coordinates image space
Pattern Recognition Letters
Geometric image parsing in man-made environments
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
A New Solution to the Relative Orientation Problem Using Only 3 Points and the Vertical Direction
Journal of Mathematical Imaging and Vision
Simultaneous vanishing point detection and camera calibration from single images
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Stairway detection based on single camera by motion stereo
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
Simultaneous estimation of vanishing points and their converging lines using the EM algorithm
Pattern Recognition Letters
Vanishing point detection using cascaded 1D Hough Transform from single images
Pattern Recognition Letters
Vision Based UAV Attitude Estimation: Progress and Insights
Journal of Intelligent and Robotic Systems
Rotation estimation and vanishing point extraction by omnidirectional vision in urban environment
International Journal of Robotics Research
Geometric Image Parsing in Man-Made Environments
International Journal of Computer Vision
Expert Systems with Applications: An International Journal
Vanishing point detection by segment clustering on the projective space
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
Calculating vanishing points in dual space
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
An accurate method for line detection and manhattan frame estimation
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Pattern Recognition Letters
Automatic detection of calibration grids in time-of-flight images
Computer Vision and Image Understanding
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A fundamental problem in computer vision is how to determine the 3-D spatial orientation of curves and surfaces appearing in an image. The problem is generally underconstrained, and is complicated by the fact that metric properties, such as orientation and length, are not invariant under projection. Under perspective projection (the correct model for most real images) the transform is nonlinear, and therefore hard to invert. Two constructive methods are presented. The first finds the orientation of parallel lines and planes by locating vanishing points and vanishing lines. The second determines the orientation of planes by 'backprojection' of two intrinsic properties of contours: angle magnitude and curvature.