Correcting distortion of image by image registration with the implicit function theorem

International Journal of Image and Graphics Volume 2 Issue 2 Page 309-330 published_at 2002-04

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Title ( eng )	Correcting distortion of image by image registration with the implicit function theorem
Creator	Tamaki Toru Yamamura Tsuyoshi Ohnishi Noboru
Source Title	International Journal of Image and Graphics
Volume	2
Issue	2
Start Page	309
End Page	330
Abstract	We propose a method for correcting image distortion due to camera lenses by calibrating intrinsic camera parameters. The proposed method is based on image registration and doesn't require point-to-point correspondence. Parameters of three successive transfor-mations –view change, radial distortion and illumination change– are estimated using the Gauss-Newton method. Estimating all 19 unknowns simultaneously, we introduce the implicit function theorem for calculating the Jacobian. To avoid local minima, we first estimate parameters for view change and employ coarse-to-fine minimization. Experimental results using real images demonstrate the robustness and the usefulness of the proposed method.
Keywords	distortion correction intrinsic camera parameters camera calibration non-linear optimization
NDC	Electrical engineering [ 540 ]
Language	eng
Resource Type	journal article
Publisher	World Scientific Publishing Co.
Date of Issued	2002-04
Rights	Copyright (c) 2002 World Scientific Publishing Co.
Publish Type	Author’s Original
Access Rights	open access
Source Identifier	[DOI] http://dx.doi.org/10.1142/S0219467802000640 isVersionOf