Abstract
Calibration is a critical step for the projector-camera-based structured light system (SLS). Conventional SLS calibration means usually use the calibrated camera to calibrate the projector device, and the optimization of calibration parameters is applied to minimize the two-dimensional (2-D) reprojection errors. A three-dimensional (3-D)-based method is proposed for the optimization of SLS calibration parameters. The system is first calibrated with traditional calibration methods to obtain the primary calibration parameters. Then, a reference plane with some precisely printed markers is used for the optimization of primary calibration results. Three metric error criteria are introduced to evaluate the 3-D reconstruction accuracy of the reference plane. By treating all the system parameters as a global optimization problem and using the primary calibration parameters as initial values, a nonlinear multiobjective optimization problem can be established and solved. Compared with conventional calibration methods that adopt the 2-D reprojection errors for the camera and projector separately, a global optimal calibration result can be obtained by the proposed calibration procedure. Experimental results showed that, with the optimized calibration parameters, measurement accuracy and 3-D reconstruction quality of the system can be greatly improved.
Highlights
The structured light system (SLS) has been an important contactless three-dimensional (3-D) measurement technology for its advantages of high accuracy and efficiency.[1,2,3,4] A basic SLS consists of one projector and one camera
The system is first calibrated with a printed checkerboard pattern via conventional calibration methods,[30,31,32,33] where the 2-D reprojection error criterion is used for the optimization of system parameters
The first experiment is conducted on the reference plane, and the 3-D measurement results with respect to three error criteria are provided to evaluate different calibration parameters
Summary
The structured light system (SLS) has been an important contactless three-dimensional (3-D) measurement technology for its advantages of high accuracy and efficiency.[1,2,3,4] A basic SLS consists of one projector and one camera. The projector is used to project some predefined pattern images onto the target surface, and the camera is used to capture the scene synchronously. By extracting the projected features from the captured images, accurate and dense correspondences can be established between the camera and projector reference frames. For the SLS, calibration of system parameters is usually the first and crucial step because the calibration result determines final 3-D measurement precision directly.[7,8,9] To perform the triangulation, we need to know the intrinsic parameters of both projector and camera, as well as the extrinsic parameters between them. The camera is first calibrated, and it is used to calibrate the projector device. With such a calibration strategy, calibration errors of the camera will propagate
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