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Abstract: Camera calibration is a fundamental problem in computer vision and photogrammetry. We present a new algorithm to calibrate cameras using spheres. In general, an occluding contour of a sphere projects to an ellipse in the image. Our algorithm uses the projection of the occluding contours of three spheres and solves for the intrinsic parameters and the locations of the spheres. The problem is formulated in the dual space and the parameters are solved for optimally and efficiently using... (Update)
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BibTeX entry: (Update)
@misc{ agrawal-complete,
author = "Motilal Agrawal and Larry S. Davis",
title = "Complete camera calibration using spheres: A dual-space approach",
url = "citeseer.ist.psu.edu/707595.html" }
Citations (may not include all citations):2441 Johns Hopkins University Press (context) - Golub, Loan - 1996
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100 A flexible new technique for camera calibration - Zhang - 2000
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36 library for semidefinite programming (context) - Borchers - 1999
27 An algorithm for self calibration from several views (context) - Hartley - 1994
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13 Multi-perspective analysis of human action (context) - Davis, Borovikov et al. - 1999
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11 Appearance-based virtual view generation of temporallyvaryin.. - Saito, Baba et al. - 1999
9 view point set registration: A comparison (context) - Cunnington, Stoddart - 1999
7 Complete calibration of a multicamera network (context) - Baker, Aloimonos - 2000
6 Sensitivity of calibration to principal point position - Hartley, Kaucic - 2002
5 Camera calibration from spheres images (context) - Daucher, Dhome et al. - 1994
3 Camera calibration with one-dimensional objects - Zhang - 2002
2 Camera calibration by a single image of balls: From conics t.. (context) - Teramoto, Xu - 2002
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Window-Based, Discontinuity Preserving Stereo - Motilal Agrawal And (Correct)
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