Paper
14 February 2015 Error analysis of rigid body posture measurement system based on circular feature points
Ju Huo, Jishan Cui, Ning Yang
Author Affiliations +
Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 94451P (2015) https://doi.org/10.1117/12.2180547
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy
Abstract
For monocular vision pose parameters determine the problem, feature-based target feature points on the plane quadrilateral, an improved two-stage iterative algorithm is proposed to improve the optimization of rigid body posture measurement calculating model. Monocular vision rigid body posture measurement system is designed; experimentally in each coordinate system determined coordinate a unified method to unify the each feature point measure coordinates; theoretical analysis sources of error from rigid body posture measurement system simulation experiments. Combined with the actual experimental analysis system under the condition of simulation error of pose accuracy of measurement, gives the comprehensive error of measurement system, for improving measurement precision of certain theoretical guiding significance.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ju Huo, Jishan Cui, and Ning Yang "Error analysis of rigid body posture measurement system based on circular feature points", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 94451P (14 February 2015); https://doi.org/10.1117/12.2180547
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Cited by 2 scholarly publications.
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KEYWORDS
Error analysis

Imaging systems

Cameras

Calibration

Detection and tracking algorithms

Device simulation

Computer simulations

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