Speeding Up the Orthogonal Iteration Pose Estimation
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概要
- 論文の詳細を見る
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.
- The Institute of Electronics, Information and Communication Engineersの論文
- 2012-07-01
著者
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Zhang Qi
College Of Life Science And Pharmaceutical Engineering Nanjing University Of Technology
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XIONG Jiulong
College of Mechatronic Engineering and Automation, National University of Defense Technology
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XIA Junying
College of Mechatronic Engineering and Automation, National University of Defense Technology
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XU Xiaoquan
College of Mechatronic Engineering and Automation, National University of Defense Technology
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ZHANG Qi
College of Mechatronic Engineering and Automation, National University of Defense Technology
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- Speeding Up the Orthogonal Iteration Pose Estimation