A Camera Self-Calibration Method Based on Plane Lattice and Orthogonality
Abstract: The calibration
using orthogonal line is one of the basic approaches of camera calibration, but
it requires the orthogonal line be accurately detected, which makes results of
error increases. This paper propose a novel camera self-calibration technique
using plane lattices and virtual orthogonal line. The rigorous analytical
relations among the feature point coordinates of the plane lattice, the
corresponding image point coordinate, intrinsic parameters, relative pose are
induced according to homography matrix of the central projection. Let a slope
of non-parallel and non-orthogonal virtual line in the lattice plane, and the
slope of its orthonormal line can be calculated. In at least three photographs
taken, vanishing points can be solved in two groups of orthogonal directions by
using the homography matrix, so the camera intrinsic parameters are linearly
figured out. This method has both simple principle and convenient pattern
manufacture, and does not involve image matching, besides having no requirement
concerning camera motion. Simulation experiments and real data show that this
algorithm is feasible, and provides a higher accuracy and robustness.
Author: Yue Zhao, Jianchong
Lei
Journal Code: jptkomputergg130108
