NDLI: Highly accurate 3D reconstruction based on a precise and robust binocular camera calibration method

Content Provider	IET Digital Library
Author	Hu, Guoliang Zhou, Zuofeng Cao, Jianzhong Huang, Huimin
Abstract	The precision of the camera calibration is one of the key factors that affect attitude measurement accuracy in many computer vision tasks. This study proposes a new calibration approach for binocular cameras. Firstly, based on singular value decomposition, the best transformation matrix to the essential matrix is approximated as the initial guess, which is solved in using the Frobenius norm. Secondly, the initial guess is refined through maximum likelihood estimation. A new calculating expression is derived for computing the relative position matrix of the binocular cameras. The Levenberg–Marquardt algorithm is then implemented to refine the initial guess. Large sets of synthesised and real point correspondences were tested to demonstrate the validity of the proposed method. Extensive experiments demonstrated that the proposed method outperforms the state-of-the-art methods. The error rate of the proposed method was 0.5% for the length test and about 1% for the angle test at a range of 1 m. This method can advance three-dimensional (3D) computer vision one additional step from laboratory environments to real-world use.
Starting Page	3588
Ending Page	3595
Page Count	8
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 14, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1525
Journal	IET Image Processing
Publisher Date	2020-09-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Computer Vision One Additional Step 3D Reconstruction Algebra Attitude Measurement Binocular Cameras Calibration Camera Computer Vision Frobenius Norm Image Sonsor Integral Transforms Levenberg–Marquardt Algorithm Matrix Algebra Maximum Likelihood Estimation Measurement Standard And Calibration Optical, Image And Video Signal Processing Relative Position Matrix Robust Binocular Camera Calibration Method Singular Value Decomposition Spatial Variables Measurement Statistics Three-dimensional Computer Vision One Additional Step Transform Transformation Matrix
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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