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http://dx.doi.org/10.5909/JBE.2016.21.1.36

Robust Semi-auto Calibration Method for Various Cameras and Illumination Changes  

Shin, Dong-Won (School of Information and Communication)
Ho, Yo-Sung (School of Information and Communication)
Publication Information
Journal of Broadcast Engineering / v.21, no.1, 2016 , pp. 36-42 More about this Journal
Abstract
Recently, many 3D contents have been produced through the multiview camera system. In this system, since a difference of the viewpoint between color and depth cameras is inevitable, the camera parameter plays the important role to adjust the viewpoint as a preprocessing step. The conventional camera calibration method is inconvenient to users since we need to choose pattern features manually after capturing a planar chessboard with various poses. Therefore, we propose a semi-auto camera calibration method using a circular sampling and an homography estimation. Firstly, The proposed method extracts the candidates of the pattern features from the images by FAST corner detector. Next, we reduce the amount of the candidates by the circular sampling and obtain the complete point cloud by the homography estimation. Lastly, we compute the accurate position having the sub-pixel accuracy of the pattern features by the approximation of the hyper parabola surface. We investigated which factor affects the result of the pattern feature detection at each step. Compared to the conventional method, we found the proposed method released the inconvenience of the manual operation but maintained the accuracy of the camera parameters.
Keywords
camera calibration; pattern feature detection; circular sampling; homography estimation;
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