Using vanishing points for camera calibration
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New method for vanishing point detection
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Geometric computation for machine vision
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Symmetry-based 3-D reconstruction from perspective images
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Simultaneous estimation of vanishing points and their converging lines using the EM algorithm
Pattern Recognition Letters
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Vanishing point detection using cascaded 1D Hough Transform from single images
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International Journal of Computer Vision
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International Journal of Computer Vision
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Vanishing points estimation and line classification in a manhattan world
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Computer Vision and Image Understanding
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In this paper we describe a flexible approach for determining the relative orientation of the camera with respect to the scene. The main premise of the approach is the fact that in man-made environments, the majority of lines is aligned with the principal orthogonal directions of the world coordinate frame. We exploit this observation towards efficient detection and estimation of vanishing points, which provide strong constraints on camera parameters and relative orientation of the camera with respect to the scene.By combining efficient image processing techniques in the line detection and initialization stage we demonstrate that simultaneous grouping and estimation of vanishing directions can be achieved in the absence of internal parameters of the camera. Constraints between vanishing points are then used for partial calibration and relative rotation estimation. The algorithm has been tested in a variety of indoors and outdoors scenes and its efficiency and automation makes it amenable for implementation on robotic platforms.