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• W2494996413 startingPage "2555" @default.
• W2494996413 abstract "As an essential step in many computer vision tasks, camera calibration has been studied extensively. In this paper, we propose a novel calibration technique that, based on geometric analysis, camera parameters can be estimated effectively and accurately from just one view of only five corresponding points. Our core contribution is the geometric analysis for deriving the basic equations to realize camera calibration from four coplanar corresponding points and a fifth noncoplanar one. The position, orientation, and focal length of a zooming camera can be directly estimated with unique solution. The estimated parameters are further optimized by the bundle adjustment technique. The proposed calibration method is examined and evaluated on both computer simulated data and real images. The experimental results confirm the validity of the proposed method that camera parameters can be estimated with sufficient accuracy using just five-point correspondences from a single image, even in the presence of image noise." @default.
• W2494996413 created "2016-08-23" @default.
• W2494996413 creator A5065919129 @default.
• W2494996413 date "2017-12-01" @default.
• W2494996413 modified "2023-10-16" @default.
• W2494996413 title "Geometry-Based Camera Calibration Using Five-Point Correspondences From a Single Image" @default.
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• W2494996413 doi "https://doi.org/10.1109/tcsvt.2016.2595319" @default.
• W2494996413 hasPublicationYear "2017" @default.
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