Estimation of Internal and External Parameters for Camera Calibration Using 1D Pattern

Authors:
Xiangjian He;Huaifeng Zhang;Namho Hur;Jinwoong Kim;Qiang Wu;Taeone Kim
Affiliations:
University of Technology, Australia/ Electronics Telecommunications Research Institute, Korea;University of Technology, Australia;Electronics Telecommunications Research Institute, Korea;Electronics Telecommunications Research Institute, Koera;University of Technology, Australia;Electronics Telecommunications Research Institute, Korea
Venue:
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Year:
2006

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Pattern Recognition

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Abstract

Camera calibration is to estimate the intrinsic and extrinsic parameters of a camera. Most of object-based calibration methods used 3D or 2D pattern. A novel and more flexible 1D object-based calibration was introduced only a couple of years ago, but merely for estimation of intrinsic parameters. The estimation of extrinsic papers is essential when multiple cameras are involved for simultaneously taking images from different view angles and when the knowledge of relative locations between the cameras is required. Though it is relatively simple using 2D or 3D calibration pattern, the estimation of extrinsic parameters is not obvious using 1D pattern. In this paper, we will perform a 1D camera calibration involving both intrinsic and extrinsic parameters.