A branch-and-bound algorithm for globally optimal camera pose and focal length-Reference-Cited by-同舟云学术

A branch-and-bound algorithm for globally optimal camera pose and focal length

Published:2010-09 Issue:9 Volume:28 Page:1369-1376
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Choi Kyuhyoung,Lee Subin,Seo Yongduek

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference23 articles.

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4. Global optimization through rotation space search;Hartley;Int. J. Comput. Vis.,2009

5. K. Sim, R. Hartley, Removing outliers using the L∞ norm, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2006.

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1. New Non-Iterative Method for Pose Estimation with High Precision;Acta Optica Sinica;2018

2. A Direct Least-Squares Solution to the PnP Problem with Unknown Focal Length;2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR);2016-06

3. A General and Simple Method for Camera Pose and Focal Length Determination;2014 IEEE Conference on Computer Vision and Pattern Recognition;2014-06

4. Globally Optimal Inlier Set Maximization with Unknown Rotation and Focal Length;Computer Vision – ECCV 2014;2014

5. Exhaustive Linearization for Robust Camera Pose and Focal Length Estimation;IEEE Transactions on Pattern Analysis and Machine Intelligence;2013-10