Open AccessUsing vanishing points to estimate parameters of fisheye camera
Author(s) -
Zhu Haijiang,
Xu Xiaobo,
Zhou Jinglin,
Wang Xuejing
Publication year - 2013
Publication title -
iet computer vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.38
H-Index - 37
eISSN - 1751-9640
pISSN - 1751-9632
DOI - 10.1049/iet-cvi.2013.0013
Subject(s) - vanishing point , rotation (mathematics) , computer vision , constraint (computer aided design) , artificial intelligence , rotation matrix , image (mathematics) , point (geometry) , mathematics , matrix (chemical analysis) , essential matrix , computer science , geometry , symmetric matrix , eigenvalues and eigenvectors , materials science , state transition matrix , physics , quantum mechanics , composite material
This study presents an approach for estimating the fisheye camera parameters using three vanishing points corresponding to three sets of mutually orthogonal parallel lines in one single image. The authors first derive three constraint equations on the elements of the rotation matrix in proportion to the coordinates of the vanishing points. From these constraints, the rotation matrix is calculated under the assumption of the image centre known. The experimental results with synthetic images and real fisheye images validate this method. In contrast to the existing methods, the authors method needs less image information and does not know the three‐dimensional reference point coordinates.