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Cited by 1,757

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Camera calibration with distortion models and accuracy evaluation

Weng, J., Cohen, P., Herniou, M.·1992·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

A camera model that accounts for major sources of camera distortion, namely, radial, decentering, and thin prism distortions is presented. The proposed calibration procedure consists of two steps: (1) the calibration parameters are estimated using a closed-form solution based on a distribution-free camera model; and (2) the parameters estimated in the first step are improved iteratively through a nonlinear optimization, taking into account camera distortions. According to minimum variance estimation, the objective function to be minimized is the mean-square discrepancy between the observed image points and their inferred image projections computed with the estimated calibration parameters. The authors introduce a type of measure that can be used to directly evaluate the performance of calibration and compare calibrations among different systems. The validity and performance of the calibration procedure are tested with both synthetic data and real images taken by tele- and wide-angle lenses.>

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Metadata

Authors
Weng, J., Cohen, P., & Herniou, M.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
1992
Volume
14
Issue
10
Pages
965-980
ISSN
0162-8828 (ISSN-L)
OpenAlex
W1977272108
Cited by
1,757
References
10
FWCI
18.16
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Camera calibration with distortion models and accuracy evaluation. https://app.cochat.ai/papers/10.1109/34.159901
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Weng, J., Cohen, P., & Herniou, M. (1992). Camera calibration with distortion models and accuracy evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.159901

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