An analytic solution for the perspective 4-point problem
Computer Vision, Graphics, and Image Processing
Determination of the Attitude of 3D Objects from a Single Perspective View
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determination of Camera Location from 2-D to 3-D Line and Point Correspondences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pose Determination from Line-to-Plane Correspondences: Existence Condition and Closed-Form Solutions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object pose from 2-D to 3-D point and line correspondences
International Journal of Computer Vision
Iterative pose computation from line correspondences
Computer Vision and Image Understanding
Linear N-Point Camera Pose Determination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Linear Solution of Exterior Orientation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cryptanalysis of the HFE Public Key Cryptosystem by Relinearization
CRYPTO '99 Proceedings of the 19th Annual International Cryptology Conference on Advances in Cryptology
Linear Pose Estimation from Points or Lines
IEEE Transactions on Pattern Analysis and Machine Intelligence
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A novel linear camera pose estimation algorithm is presented using known 3D to 2D line correspondences and point correspondences. The rotation parameters are represented by unit quaternion. For n (n=4) correspondences, we establish an equation system with 2n quadratic equations in thirteen variables and apply the "relinearization" method to obtain the rotation parameters and translation parameters simultaneously. We compare our algorithm with Ansar's NLL algorithm for line correspondences by some synthetic experiments. Our algorithm performs better on the aspect of running time and accuracy of determined pose parameters. Some real experiments are produced by 1 point-3 lines, 2 points-2 lines, 3 points- 1 line correspondences. The projection of a 3D model is applied to estimate the performance of our algorithm.