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Comment on: On the Kung-Traub Conjecture for Iterative Methods for Solving Quadratic Equations. Algorithms 2016, 9, 1
Open AccessArticle

Improved Direct Linear Transformation for Parameter Decoupling in Camera Calibration

School of Electrical Engineering and Automation, Harbin Institute of Technology, Heilongjiang 150001, China
Capital Aerospace Machinery Company, Beijing 100076, China
Author to whom correspondence should be addressed.
Academic Editor: Faisal N. Abu-Khzam
Algorithms 2016, 9(2), 31;
Received: 11 December 2015 / Revised: 20 April 2016 / Accepted: 25 April 2016 / Published: 29 April 2016
PDF [2655 KB, uploaded 19 May 2016]


For camera calibration based on direct linear transformation (DLT), the camera’s intrinsic and extrinsic parameters are simultaneously calibrated, which may cause coupling errors in the parameters and affect the calibration parameter accuracy. In this paper, we propose an improved direct linear transformation (IDLT) algorithm for calibration parameter decoupling. This algorithm uses a linear relationship of calibration parameter errors and obtains calibration parameters by moving a three-dimensional template. Simulation experiments were conducted to compare the calibration accuracy of DLT and IDLT algorithms with image noise and distortion. The results show that the IDLT algorithm calibration parameters achieve higher accuracy because the algorithm removes the coupling errors. View Full-Text
Keywords: camera calibration; direct linear transformation; parameter decoupling camera calibration; direct linear transformation; parameter decoupling

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Zhao, Z.; Ye, D.; Zhang, X.; Chen, G.; Zhang, B. Improved Direct Linear Transformation for Parameter Decoupling in Camera Calibration. Algorithms 2016, 9, 31.

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