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1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'96)
Active Intrinsic Calibration Using Vanishing Points
San Francisco, Ca.
June 18-June 20
ISBN: 0-8186-7258-7
Konstantinos Daniilidis, Computer Science Institute Kiel University kd@informatik.uni-kiel.de
Joerg Ernst, Computer Science Institute Kiel University kd@informatik.uni-kiel.de
We propose a new method for the estimation of the intrinsic parameters of an active camera. During a fixed axis camera rotation every point is moving on a conic section. If the point used is a vanishing point the conic section is invariant to possible translations of the observer. Given the rotation axis and the inter-frame correspondence of a set of parallel lines we are able to compute the intrinsic parameters without knowledge of the rotation angles. We propagate the error covariances and we remove the bias in the computation of the conic. We experimentally study the sensitivity of calibration to the amount of rotation and we compare our performance to the performance of a recent active calibration technique.
Index Terms:
Calibration, Active Vision, Vanishing Points, Statistical Bias
Citation:
Konstantinos Daniilidis, Joerg Ernst, "Active Intrinsic Calibration Using Vanishing Points," cvpr, pp.708, 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'96), 1996
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