A New Camera and Projector Calibration Method Based on Discrete Computation


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This paper presents a novel method for the calibration of camera and projector based on discrete computation, which uses a linear moving chessboard and project plane to get a calibration database for camera and projector. The camera database contains multi-layers data of the captured chessboard corners and their corresponding practical coordinates in the system. Then by using this database and interpolation algorithm, we can calculate the accurate position for each given pixel position in the captured image. After this we change the chessboard with a white scene and project a chessboard image to the plane. By capturing the projected image and computing the practical position for the corners in the image, we can get a relationship between practical coordinates and the projected image pixels. So another database for the project image and the practical coordinates is established. By using these two databases, we can define the light line for the pixels in a camera captured image and projected image, which can be used for 3D scanning system and other industrial systems, like mask-image projection stereo lithography rapid prototyping system.



Edited by:

Mohamed Othman




X. J. Zhao and C. R. Zhang, "A New Camera and Projector Calibration Method Based on Discrete Computation", Applied Mechanics and Materials, Vols. 229-231, pp. 1171-1175, 2012

Online since:

November 2012




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