DocumentCode
1679397
Title
Non-metric calibration of camera lens distortion
Author
Ahmed, Moumen ; Farag, Aly
Author_Institution
Comput. Vision & Image Process. Lab., Louisville Univ., KY, USA
Volume
2
fYear
2001
Firstpage
157
Abstract
This paper addresses the problem of calibrating camera lens distortion, which can be significant in medium to wide angle lenses. Our approach is based on the analysis of distorted images of straight lines. We derive a new distortion measure that can be optimized using nonlinear search techniques to find the best distortion parameters that straighten these lines. Unlike the other existing approaches, we also show how to use this measure to find fast, closed-form solutions to the distortion coefficients. Some experiments to evaluate the performance of this approach on synthetic and real data are reported
Keywords
calibration; cameras; computer vision; nonlinear estimation; parameter estimation; search problems; camera lens distortion; closed-form solutions; distorted image analysis; distortion measure; distortion parameters; non-metric calibration; nonlinear search techniques; optimization; performance; straight lines; vision; wide angle lenses; Calibration; Cameras; Closed-form solution; Computer vision; Distortion measurement; Geometry; Image processing; Layout; Lenses; Nonlinear distortion;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.958448
Filename
958448
Link To Document