复杂刚性运动物体的高精度三维测量算法

基于相移法的三维形貌重建精度高,对环境噪声和阴影等不敏感,但由于多幅条纹解相位,难以应用于动态物体的三维测量中,为此,提出了一种新的算法.基于Harris算法提取刚性运动棋盘格的角点,确定相邻两帧采集条纹图像之间的像素偏差并校正采集条纹图像;根据投影仪和摄像机的标定参数建立投影图像和采集图像之间的空间变换矩阵,并根据变...

High precision three-dimensional measurement algorithm for flexible and rigid moving objects

Three-dimensional(3-D) shape reconstruction based on the phase shift method has high accuracy and is not sensitive to environmental noise and shadows.However,it is difficult to apply to the 3-D measurement of dynamic objects due to the phase-resolving of multiple fringes.To this end,a new algorithm is proposed.First,the corner points of the rigid moving checkerboard are extracted based on the Harris algorithm,the pixel deviation between the captured fringe images of two adjacent frames is determined and the captured fringe image is corrected.Then,the spacial transform matrix between the projection image and the captured image are established according to the calibration parameters of the projector and the camera.According to the transform matrix,the corrected projection fringe image is obtained.Third,high-speed projection technology is used to reduce the pixel deviation between frames.Finally,the corrected projection fringe images are projected and the captured images are transformed,so as to obtain the captured fringes similar to the static objects.Experimental results have proved that the proposed method can reconstruct the three-dimensional shape of the flexible and rigid moving objects with a determined trajectory and speed with high accuracy.