Polarization Active and Passive Fusion 3D Reconstruction Method Based on Structured Light

A method for three-dimensional reconstruction is proposed, which combines active structured light with passive polarization. Firstly, noise reduction in the polarization data is achieved through weighted averaging, mitigating the impact of noise. Subsequently, azimuthal ambiguities in the polarization information are corrected using depth maps acquired from structured light imaging. Finally, surface concavity issues are addressed through optimization using the mesh Laplacian operator, coupled with structured light depth, to achieve more accurate three-dimensional reconstruction.