Research on 3D reconstruction technology based on the fusion of polarization imaging and light field depth information

For objects with smooth surface and single texture, the traditional reconstruction algorithm cannot accurately recover the ideal results. The research shows that the shape features of the measured object can be recovered more accurately by using polarization information in the reconstruction process. However, due to the ambiguity of the azimuth of the surface normal, it is difficult to obtain the accurate depth information directly. Referring to the depth information image provided by the light field camera, this paper designs a depth imaging system mixed by the polarization camera and the light field camera. The depth information obtained by the light field camera is used to guide and eliminate the ambiguity of the normal vector of the polarization surface, so as to achieve higher accuracy in the three-dimensional surface reconstruction of the object. The experiment and analysis show that the relative error between the reconstructed target surface and the real target surface is less than 10%.