Title
Camera Calibration Using Projective Invariants Of Sphere Images
Abstract
Two novel linear camera calibration algorithms were investigated in this study. In general, an occluding contour circle of a sphere and the optical centre of a camera form a right circular cone, and the generalised eigenvectors of two right circular cones encode an infinity point that lies on two support planes containing the contour circle. In the image plane, a vanishing line can be determined by connecting two vanishing points. Furthermore, the direction of the diameter passing through the infinity point is orthogonal to the direction of its conjugate diameter; thus, a set of orthogonal vanishing points can be computed. The imaged circular points or orthogonal vanishing points provide constraints that enable the intrinsic parameters to be recovered completely. The results of simulations and comparison data obtained from actual experiments confirm the effectiveness and feasibility of the proposed algorithms.
Year
DOI
Venue
2020
10.1109/ACCESS.2020.2972029
IEEE ACCESS
Keywords
DocType
Volume
Camera calibration, conjugate diameters, generalized eigenvalue, right circular cone, vanishing point
Journal
8
ISSN
Citations 
PageRank 
2169-3536
1
0.37
References 
Authors
0
3
Name
Order
Citations
PageRank
Fengli Yang111.04
Yue Zhao218633.54
Xuechun Wang310.71