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Speeding Up the Orthogonal Iteration Pose Estimation
Junying XIA
Xiaoquan XU
Qi ZHANG
Jiulong XIONG
Publication
IEICE TRANSACTIONS on Information and Systems Vol.E95-D No.7 pp.1827-1829
Publication Date: 2012/07/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: Special Section LETTER (Special Section on Machine Vision and its Applications)
Category: 3D Pose
Keyword:
pose estimation,
orthogonal iteration,
paraperspective camera model,
Full Text: PDF(249.5KB)
Summary:
Existing pose estimation algorithms suffer from either low performance or heavy computation cost. In this letter, we present an approach to improve the attractive algorithm called Orthogonal Iteration. A new form of fundamental equations is derived which reduces the computation cost significantly. And paraperspective camera model is used instead of weak perspective camera model during initialization which improves the stability. Experiment results validate the accuracy and stability of the proposed algorithm and show that its computational complexity is favorably compare to the O(n) non-iterative algorithm.
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