Fast and Globally Convergent Pose Estimation from Video Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Linear Solution of Exterior Orientation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time camera calibration for virtual studio
Real-Time Imaging
Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System
IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Convex Optimization
Removing Outliers Using The L\infty Norm
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Real-time Camera Pose and Focal Length Estimation
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Optimal Estimation of Perspective Camera Pose
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Robust Pose Estimation from a Planar Target
IEEE Transactions on Pattern Analysis and Machine Intelligence
Quasiconvex Optimization for Robust Geometric Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple-View Geometry Under the {$L_\infty$}-Norm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Global Optimization through Rotation Space Search
International Journal of Computer Vision
Practical global optimization for multiview geometry
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
An efficient two-step solution for vision-based pose determination of a parallel manipulator
Robotics and Computer-Integrated Manufacturing
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This paper considers the problem of finding the global optimum of the camera rotation, translation and the focal length given a set of 2D-3D point pairs. The global solution is obtained under the L-infinity optimality by a branch-and-bound algorithm. To obtain the goal, we firstly extend the previous branch-and-bound formulation and show that the image space error (pixel distance) may be used instead of the angular error. Then, we present that the problem of camera pose plus focal length given the rotation is a quasi-convex problem. This provides a derivation of a novel inequality for the branch-and-bound algorithm for our problem. Finally, experimental results with synthetic and real data are provided.