DocumentCode :
3330952
Title :
Radial Distortion Self-Calibration
Author :
Brito, Jose Henrique ; Angst, R. ; Koser, Kevin ; Pollefeys, Marc
Author_Institution :
IPCA, Barcelos, Portugal
fYear :
2013
fDate :
23-28 June 2013
Firstpage :
1368
Lastpage :
1375
Abstract :
In cameras with radial distortion, straight lines in space are in general mapped to curves in the image. Although epipolar geometry also gets distorted, there is a set of special epipolar lines that remain straight, namely those that go through the distortion center. By finding these straight epipolar lines in camera pairs we can obtain constraints on the distortion center(s) without any calibration object or plumb line assumptions in the scene. Although this holds for all radial distortion models we conceptually prove this idea using the division distortion model and the radial fundamental matrix which allow for a very simple closed form solution of the distortion center from two views (same distortion) or three views (different distortions). The non-iterative nature of our approach makes it immune to local minima and allows finding the distortion center also for cropped images or those where no good prior exists. Besides this, we give comprehensive relations between different undistortion models and discuss advantages and drawbacks.
Keywords :
calibration; distortion; feature extraction; matrix algebra; camera pairs; cropped images; distortion center; division distortion model; epipolar geometry; radial distortion models; radial distortion self-calibration; radial fundamental matrix; special epipolar lines; straight epipolar lines; undistortion models; Calibration; Cameras; Computational modeling; Geometry; Lenses; Nonlinear distortion; Visualization; Center of Distortion; Epipolar Curve; Radial Distortion; Self-calibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
Conference_Location :
Portland, OR
ISSN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2013.180
Filename :
6619024
Link To Document :
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