An analytic solution for the perspective 4-point problem
Computer Vision, Graphics, and Image Processing
Determining camera parameters from the perspective projection of a rectangle
Pattern Recognition
Determining camera parameters from the perspective projection of a quadrilateral
Pattern Recognition
Fitting Parameterized Three-Dimensional Models to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pose estimation using four corresponding points
Pattern Recognition Letters
Linear N-Point Camera Pose Determination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
A Note on the Number of Solutions of the Noncoplanar P4P Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Linear Pose Estimation from Points or Lines
IEEE Transactions on Pattern Analysis and Machine Intelligence
Complete Solution Classification for the Perspective-Three-Point Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Monocular Model-Based 3D Location for Autonomous Robots
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
An immune evolutionary algorithm based pose estimation method for parallel manipulator
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Landmark Real-Time Recognition and Positioning for Pedestrian Navigation
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
3D real-time positioning for autonomous navigation using a nine-point landmark
Pattern Recognition
An efficient two-step solution for vision-based pose determination of a parallel manipulator
Robotics and Computer-Integrated Manufacturing
Calibrating effective focal length for central catadioptric cameras using one space line
Pattern Recognition Letters
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In this paper, a new affine invariant of trapezia is introduced, and the projection of trapezia is deduced from this invariant. Known the lengths of the two parallel sides of a trapezium, pose estimation and plane measurement can be realized in a very simple way from the projection of the trapezium. Experiments on simulated and real images show that the approach is robust and accurate. Two parallel lines, which can determine a trapezium, are not rare in many structured scenes, the proposed method has wide applicability.