Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Contribution to the Determination of Vanishing Points Using Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vanishing Point Detection without Any A Priori Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Line Clustering with Vanishing Point and Vanishing Line
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Interpreting perspective images
Artificial Intelligence
LSD: A Fast Line Segment Detector with a False Detection Control
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vanishing point detection with an intersection point neighborhood
DGCI'09 Proceedings of the 15th IAPR international conference on Discrete geometry for computer imagery
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
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Vanishing points can be used to exploit the parallel and orthogonal lines in 3D scenes thus the cameras' orientation parameters for vision processing. This paper proposed a vanishing point detection and estimation method in the dual image space. First, edge line segments are extracted. Second, based on the point-line duality theory, lines are transformed into points in the dual space where the transformed points belong to the same vanishing point form collinear clusters. Third, vanishing points are estimated by grouping and fitting straight lines across those clusters. The novel points of our method are: 1) automatically grouping the edge line segments that are the support of a vanishing point; 2) calculating the vanishing points by fitting straight lines in the dual space. Experiment results validated the proposed method.