2020
DOI: 10.1109/access.2020.2972029
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Camera Calibration Using Projective Invariants of Sphere Images

Abstract: Two novel linear camera calibration algorithms were investigated in this study. In general, an occluding contour circle of a sphere and the optical centre of a camera form a right circular cone, and the generalised eigenvectors of two right circular cones encode an infinity point that lies on two support planes containing the contour circle. In the image plane, a vanishing line can be determined by connecting two vanishing points. Furthermore, the direction of the diameter passing through the infinity point is… Show more

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Cited by 7 publications
(2 citation statements)
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“…Therefore, 3D reconstruction that is based on both standard and prime lens calibration is highly accurate. Numerous studies on prime lens calibration have been conducted [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Developed on the basis of the standard calibration technique, zoom lens calibration techniques comprise linear and nonlinear strategies [21] for setting various lens parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, 3D reconstruction that is based on both standard and prime lens calibration is highly accurate. Numerous studies on prime lens calibration have been conducted [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Developed on the basis of the standard calibration technique, zoom lens calibration techniques comprise linear and nonlinear strategies [21] for setting various lens parameters.…”
Section: Introductionmentioning
confidence: 99%
“…In this method, the distance between pairs of the correspondent points are minimized to establish a rigorous boresight calibration model. Planar and spherical model are also used in other calibration tasks [35][36][37][38]. Chen et al [39] proposed a calibration method based on spherical constraints.…”
mentioning
confidence: 99%