Compensated FPP calibration

The data and codes show 3D reconstruction of a checkerboard with pseudo-colored errors, using different calibration and reconstruction methods. (1) with general stereo calibration and linear reconstruction, (2) with general stereo calibration and approximately undistorted reconstruction, (3) with stereo calibration and undistorted reconstruction using nonlinear epipolar constraints, and (4) with the residual distortion-calibrated reconstruction. The data also includes the original fringe images captured in the stereo calibration experiment, for the situation if you want to compare your calibration and reconstruction accuracy with the reported methods.Please cite the work using the source: Jian Wang, Zonghua Zhang, Wenlong Lu, Xiangqian Jiang, High-accuracy calibration of high-speed fringe projection profilometry using a checkerboard, IEEE-ASME Transactions on Mechatronics 2022, doi: 10.1109/TMECH.2021.3136617

本数据集展示了使用不同校准与重建方法对棋盘格进行三维重建的示例，并附带伪彩色的误差表示。(1)采用通用立体校准和线性重建方法；(2)采用通用立体校准和近似无畸变重建方法；(3)运用非线性极线约束进行立体校准和无畸变重建；(4)采用残差畸变校准的重建方法。此外，数据集还包括了在立体校准实验中捕获的原始条纹图像，以便用户将自身校准与重建的精度与已报道的方法进行比较。请引用相关文献：王健，张宗华，陆文龙，蒋祥谦. 基于棋盘格的高精度高速条纹投影轮廓仪校准[J]. IEEE-ASME Transactions on Mechatronics, 2022, 27(6): 1899-1910. doi: 10.1109/TMECH.2021.3136617

搜集汇总

背景与挑战

背景概述

该数据集主要用于高精度条纹投影轮廓术(FPP)的校准研究，包含棋盘格的3D重建数据和原始条纹图像，支持四种不同校准和重建方法的比较。数据集需要MATLAB环境运行，适用于计算机视觉和光学校准领域的研究。