NDLI: Extrinsic parameters and focal length calibration using rotation-symmetric patterns

Content Provider	IET Digital Library
Author	Liu, Ruizhi Zhang, Hongran Lu, Jian Sun, Yi
Abstract	The authors present a camera calibration method for estimating the extrinsic parameters and focal length of a camera using only a single image of a planar rotation-symmetric pattern. The frontal parallel image of the pattern can preserve the rotation-symmetric pattern, causing the corresponding frieze-expansion (FE) pattern to be expressed as a low-rank matrix, which does not exist when the image is captured from an oblique view. The proposed method derives the forward formulation between the FE of the image observed from an oblique view and the low-rank, FE pattern of the frontal parallel image. An optimisation problem arises when rank minimisation techniques are introduced; by solving this problem, one can obtain the camera parameters relative to the front view. Simultaneously, the rotation-symmetric texture is recovered as a by-product. This new method takes advantage of the raw intensity values of the observed image itself, bypassing the need to extract any low-level features and simplifying human intervention. Experimental results demonstrate the validity of the proposed method.
Starting Page	189
Ending Page	197
Page Count	9
ISSN	17519659
Volume Number	10
e-ISSN	17519667
Issue Number	Issue 3, Mar (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/10/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2015.0287
Journal	IET Image Processing
Publisher Date	2016-03-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Calibration Camera Camera Calibration Method Extrinsic Parameter Estimation FE Pattern Feature Extraction Focal Length Calibration Frieze-expansion Pattern Frontal Parallel Imaging Graph Theory Image Recognition Image Sonsor Image Texture Length Measurement Low-level Feature Extraction Low-rank Matrix Matrix Algebra Measurement Standard And Calibration Minimisation Optimisation Problem Optimisation Technique Parameter Estimation Planar Rotation-symmetric Pattern Rank Minimisation Technique Set Theory Spatial Variables Measurement
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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