22 March 1999 Camera calibration with lens distortion using weakly localized image features
Author Affiliations +
Proceedings Volume 3650, Sensors, Cameras, and Applications for Digital Photography; (1999); doi: 10.1117/12.342856
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Camera calibration is a crucial problem for many industrial applications that incorporate visual sensing. In this paper, we present an approach to computing the intrinsic and extrinsic camera parameters taking into account radial lens distortion. The approach consists of directly searching for the camera parameters that best project 3D points of a calibration pattern onto intensity edges in a 2D image of this pattern without explicitly extracting the edges. Our approach can be considered an extension of Robert's method to obtain a more accurate camera model that adjusts for lens distortion. This approach tolerates less accuracy in the image features and avoids heavy dependence on individual, strongly-localized features since feature localization is instead included as part of the error measure used in the optimization process. After describing the details of our approach, the paper shows some experiments to evaluate the approach performance in terms of accuracy, sensitivity to initial conditions and reliability.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Moumen T. Ahmed, Elsayed E. Hemayed, Aly A. Farag, "Camera calibration with lens distortion using weakly localized image features", Proc. SPIE 3650, Sensors, Cameras, and Applications for Digital Photography, (22 March 1999); doi: 10.1117/12.342856; https://doi.org/10.1117/12.342856




3D modeling

3D image processing

Image processing

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