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An analysis the positional accuracy of a multi-camera ball tracking system
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Zhu, Jiale. An analysis the positional accuracy of a multi-camera ball tracking system. Retrieved from https://doi.org/doi:10.7282/t3-cg8a-cz68

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TitleAn analysis the positional accuracy of a multi-camera ball tracking system
NameZhu, Jiale (author); Alessandrini, Steve (chair); Li, Haisheng (internal member); Fu, Siqi (internal member); Piccoli, Benedetto (internal member); Herrera-Guzman, Haydee (internal member); Rutgers University; Camden Graduate School
Date Created2021
Other Date2021-05 (degree)
SubjectPhotography, Pinhole, Mathematics
Extent1 online resource (vi, 22 pages)
DescriptionThis paper describes three kinds of pinhole camera models: the camera without lens distortion and calibration, the camera with lens distortion, and the distorted camera calibrated using an inverse lens distortion series of different orders. In this paper, most equations are in matrix form, which makes programming dramatically more comfortable. During the lens distortion process, we used second-order coefficients to simulate the lens distortion. Due to the quantization error when converting image coordinates to pixel coordinates, the actual distortion coefficients are estimated by a least-squares algorithm. The estimated distortion coefficients are applied in the inverse lens distortion series to calibrate the cameras. The position of the ball is triangulated by using a system of eight cameras. The triangulation algorithm will be introduced in Chapter 4. Finally, Chapter 5 compares the performance of the system with and without lens distortion and with various levels of camera calibration to correct for lens distortion.
NoteM.S.
NoteIncludes bibliographical references
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/t3-cg8a-cz68
LanguageEnglish
CollectionCamden Graduate School Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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