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Effective Lens Distortion Correction for 3D Range Scannig Systems
Authors: Chmelař Pavel | Beran Ladislav | Rejfek Luboš | Chmelařová Natalija
Year: 2015
Type of publication: článek ve sborníku
Name of source: 57th International Symposium ELMAR-2015: proceedings
Publisher name: IEEE (Institute of Electrical and Electronics Engineers)
Place: New York
Page from-to: 37-40
Titles:
Language Name Abstract Keywords
cze Efektivní korekce zkreslení objektivu pro 3D skenovací systém Nowadays lasers in the measurement industry are widely used. The accuracy of optical rangefinders, which detect a laser line directly from a taken frame, lies in precise laser line detection. By using a lens with a smaller focal length, a barrel distortion can occur. In this paper we would like to introduce an effective method for barrel distortion correction. The algorithm also includes a super-sampling method to prevent line discontinuities especially on image borders, where the influence of distortion effect is significant. The algorithm description also includes substantial speed-up of the whole process by using a correction matrix. A correction matrix is estimated only once for a specific frame dimension and user’s parameters. Then the camera correction matrix is used in the mapping process. The paper also includes a time comparison between using a different super-sampling quality and the benefit of using the correction matrix. Barelové zkreslení; Super-sampling; Rotated Grid super-sampling; Desekce laserové přímky; 3D skenování
eng Effective Lens Distortion Correction for 3D Range Scannig Systems Nowadays lasers in the measurement industry are widely used. The accuracy of optical rangefinders, which detect a laser line directly from a taken frame, lies in precise laser line detection. By using a lens with a smaller focal length, a barrel distortion can occur. In this paper we would like to introduce an effective method for barrel distortion correction. The algorithm also includes a super-sampling method to prevent line discontinuities especially on image borders, where the influence of distortion effect is significant. The algorithm description also includes substantial speed-up of the whole process by using a correction matrix. A correction matrix is estimated only once for a specific frame dimension and user’s parameters. Then the camera correction matrix is used in the mapping process. The paper also includes a time comparison between using a different super-sampling quality and the benefit of using the correction matrix. Barrel distortion; Super-sampling; Rotated Grid super-sampling; Laser line detection; 3D range scanning