@inproceedings{9597a773c9b249f7923a323b92eb302b,
title = "Optimal estimation of perspective camera pose",
abstract = "In this paper we propose apractical and efficient method for finding the globally optimal solution to the problem of camera pose estimation for calibrated cameras. While traditional methods may get trapped in local minima, due to the non-convexity of the problem, we have developed an approach that guarantees global optimality. The scheme is based on ideas from global optimization theory, in particular, convex under-estimators in combination with branch and bound. We provide aprovably optimal algorithm and demonstrate good performance on both synthetic and real data.",
keywords = "Calibrated cameras, Global optimization theory, Camera pose estimation",
author = "Carl Olsson and Fredrik Kahl and Magnus Oskarsson",
year = "2006",
doi = "10.1109/ICPR.2006.909",
language = "English",
volume = "2",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
pages = "5--8",
booktitle = "Proceedings - International Conference on Pattern Recognition",
address = "United States",
note = "18th International Conference on Pattern Recognition, ICPR 2006 ; Conference date: 20-08-2006 Through 24-08-2006",
}