NDLI: An Improved Pose Estimation Algorithm For Real-time Vision Applications

Content Provider	IEEE Xplore Digital Library
Author	Zhiyong Zhang Dayong Zhu Jing Zhang
Copyright Year	2006
Description	Author affiliation: Coll. of Opto-Electron. Inf., Univ. of Electron. Sci. & Technol. of China, Chengdu (Zhiyong Zhang; Dayong Zhu; Jing Zhang)
Abstract	An accurate and efficient pose estimation algorithm is presented to estimate the location of a three-dimensional object from the relating two-dimensional images. The iterative pose estimation algorithm, called OI (orthogonal iteration) algorithm, is fast and globally convergent. But it seems that its simulation results have a large translation error in relatively close range, which was explained as the influences of biasing effects introduced by the projection matrix; however, we find that it was caused by the error of rotational matrix. Based on improving the accuracy of rotational matrix, the OI algorithm was refined. Experiments with both synthetic data and real images show that the results using the improved method are more accurate than that of the OI algorithm
Sponsorship	IEEE Circuits and Syst. Soc. HKUST UESTC City Univ. of Hong Kong
Starting Page	402
Ending Page	406
File Size	4335039
Page Count	5
File Format	PDF
ISBN	0780395840
DOI	10.1109/ICCCAS.2006.284663
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Computer vision Image recognition Image converters Navigation Optimization methods Cameras Educational institutions Iterative algorithms Application software
Content Type	Text
Resource Type	Article

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