title: A flexible calibration method using the planar target with a square pattern for line structured light vision system.
abstract: A flexible calibration approach for line structured light vision system is proposed in this paper. Firstly a camera model is established by transforming the points from the 2D image plane to the world coordinate frame, and the intrinsic parameters of camera can be obtained accurately. Then a novel calibration method for structured light projector is presented by moving a planar target with a square pattern randomly, and the method mainly involves three steps: first, a simple linear model is proposed, by which the plane equation of the target at any orientations can be determined based on the square's geometry information; second, the pixel coordinates of the light stripe center on the target images are extracted as the control points; finally, the points are projected into the camera coordinate frame with the help of the intrinsic parameters and the plane equations of the target, and the structured light plane can be determined by fitting these three-dimensional points. The experimental data show that the method has good repeatability and accuracy.
authors.affiliation: School of Mathematics, Changchun Normal University, Changchun, China.
authors.forename: Qiucheng
authors.initials: Q
authors.lastname: Sun
authors.affiliation: College of Mechanical Science and Engineering, Changchun University, Changchun, China.
authors.forename: Yueqian
authors.initials: Y
authors.lastname: Hou
authors.affiliation: College of Mechanical Science and Engineering, Jilin University, Changchun, China.
authors.forename: Qingchang
authors.initials: Q
authors.lastname: Tan
authors.affiliation: College of Mechanical Science and Engineering, Jilin University, Changchun, China.
authors.forename: Guannan
authors.initials: G
authors.lastname: Li
mesh_terms: D002138:Calibration; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008027:Light; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated / Q000379:methods*