Research on visual deception recognition technology based on monocular polarization imaging

Abstract

Monocular imaging is constrained by limitations in the detection angle, making it susceptible to visual deceptions and making it difficult to obtain accurate shape and structural information of three-dimensional objects. The polarimetric characteristics of scattered light from objects contain information about surface roughness, texture, and structural differences. Therefore, introducing polarization measurements into monocular imaging systems holds significant potential. In this paper, based on polarized 3D imaging theory, the acquisition of surface normal information of objects is achieved by establishing the Stokes vector equation and relating it to Fresnel reflection and the Malus law. Rendering of normals and object surface directions is performed in the 3DsMax software. Ultimately, a monocular visual polarization imaging method is employed to correct the visual deception effect of objects with deceptive features. The results demonstrate that this method exhibits a certain recognition ability for three-dimensional objects composed of multiple planes with deceptive viewing angles.