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Research on Camera Calibration Method with Neural Network

Author: TianZhen
Tutor: Zhang
School: National University of Defense Science and Technology
Course: Instrument Science and Technology
Keywords: Machine Vision Camera Calibration Parallel calibration Neural Networks
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 118
Quote: 2
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Abstract


Various nonlinear factors present in the imaging process , such as radial distortion and cut to the distortion , the ultimate camera imaging model for non-linear model . In order to better achieve the object point like the nonlinear relationship between the points , the neural network technology is the introduction of the camera calibration work . This article focuses on the camera calibration method based on neural network technology, in-depth research . Current use of neural network research for camera calibration , can only achieve a single location or a small range of calibration accuracy requirements of the space . When the calibration space has expanded to a certain range , calibration accuracy and calibration of the speed of the conflict will not be adjusted . This paper describes the respective characteristics of these two disciplines camera calibration and neural networks . On this basis , this paper re- positioning the point of integration between the two , presents a new calibration method , the neural network to focus on the calculation of non-linear factors . Starting from the camera pinhole model , derived camera imaging principle ; the proof object points , respectively, along the three axes of the world coordinate system (XW axis , YW axis and ZW axis) direction very different laws imaging , presents a new parallel calibration method, the calibration work of the three-dimensional information of the object point (XW, YW and ZW) for parallel processing ; proposed a new normalization algorithm , to further improve the calibration accuracy of the XW and YW . Calibration method proposed camera calibration experiments and experimental analysis . By error analysis , the paper pointed out the possible ways to improve the calibration accuracy . Experimental results show that : the calibration method can be expanded calibration accuracy and calibration speed camera calibration space ; proposed normalization algorithm is able to further improve the calibration accuracy XW and YW ; ZW calibration is a whole wide range of calibration XW and YW its reconstruction of the standard deviation is greater than reconstructed standard deviation . Improve the the ZW axis calibration accuracy , will be the focus of the next step .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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