基于双向条纹投影的复杂纹理物体三维测量

Abstract

Objective Fringe projection profilometry (FPP) has been widely adopted in numerous fields recently, owing to its advantages such as rapid measurement speed, high precision, noncontact, and costeffectiveness. However, for objects with complex textures, the camera defocus, which is unavoidable, implies that each pixel on the imaging plane of the camera essentially represents the convolution of the point spread function (PSF) and the reflected light intensity from each point within the region. In regions where reflectivity changes abruptly, diverse reflectivities are displayed by points within the range of the PSF. This leads to crosscontamination, resulting in subsequent phase errors that ultimately impact the final reconstruction accuracy. Within the PSF range, due to the different reflectivity of each point in the area of reflectivity