2017
DOI: 10.1364/oe.25.015269
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Flexible and accurate camera calibration using grid spherical images

Abstract: For important camera calibration in the field of computer vision, a new target form, namely, a grid spherical target (GST) that is different from the spherical target, is proposed. The GST has advantages of spherical and checkerboard targets because of the grid on the sphere. And the latitude and longitude circles and the intersection points between latitude and longitude circles on the GST are used to calibrate the camera. Firstly, the Image of Absolute Conic should be obtained using the elliptic curves of la… Show more

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Cited by 62 publications
(15 citation statements)
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“…In the descriptions of the experiments, the calibration algorithms based on the images of the circular points and orthogonal vanishing points are denoted as ICP and OVP, respectively. The methods using the bi-tangent lines of the projection conics [33], semidefinite programming [35], the common pole and polar with respect to two sphere images [20], grid spherical images [17], and homography deduced by conic features [40] are denoted as BTL, SDP, CPP, GSI, and HCF, respectively.…”
Section: Methodsmentioning
confidence: 99%
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“…In the descriptions of the experiments, the calibration algorithms based on the images of the circular points and orthogonal vanishing points are denoted as ICP and OVP, respectively. The methods using the bi-tangent lines of the projection conics [33], semidefinite programming [35], the common pole and polar with respect to two sphere images [20], grid spherical images [17], and homography deduced by conic features [40] are denoted as BTL, SDP, CPP, GSI, and HCF, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…When there are multiple images of the PAA conic, the intrinsic parameters of the camera can be uniquely determined. 5) Calibration based on 3D calibration objects [16], [17]:…”
Section: Introductionmentioning
confidence: 99%
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“…The values of f and b can be obtained by camera calibration, and d can be obtained by stereo vision matching. In summary, camera calibration and stereo vision matching are the key steps to achieve binocular vision, and the calibration accuracy and matching effect have a decisive influence on 3D reconstruction [28], [29].…”
Section: A the Principle Of Binocular Visionmentioning
confidence: 99%
“…A sphere has isotropic visibility from any view [12], [13]. Hence, calibration technology using only a sphere as the pattern has been studied widely [14]- [16].…”
Section: Introductionmentioning
confidence: 99%