Determining Intrinsic Parameters and Pose of Cameras from Single View with Variable Focal Length

Abstract:

This study claims an algorithm of calibration which is executed on the basis of projection matrix. This algorithm directly estimates intrinsic parameter on the basis of rotation matrix’s unitary orthogonality combined with Cholesky decomposition from the obtained projection matrix. Then, false is excluded by rotation matrix’s determinant constraints, and ultimately, camera location and orientation matrix are obtained and estimated parameters are optimized with the minimum error of reprojection residual being cost function. This algorithm is taken under a pinhole camera model and can calibrate the camera from single view with variable focal length. Both simulation data and true image experiments have proved the feasibility and robustness of this algorithm.

• Periodical: Applied Mechanics and Materials (Volumes 635-637)
• Pages: 1011-1017
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.635-637.1011
• Online since: September 2014
• Authors: Gui Hua Liu*, Hui Min Long
• Keywords: 3D Reconstruction, Camera Calibration, Projection Matrix, Single View

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