Binocular 3D Reconstruction in Robotic Machining Process of Black Rubber Composite Combining the Polarization Information

The high precision and efficiency measurement of black rubber directly determines its accuracy and quality during the robotic machining process. Therefore, a novel approach based on binocular structured light and polarization imaging for the robotic vision of black rubber composite is presented in the paper. The precise size data of workpiece, obtained by structured light, is used as the constraint condition for polarization surface reconstruction by constructing a suitable data fusion model, which overcomes the incomplete reconstruction limitations caused by conventional measurement approach and inaccurate reconstruction by polarization imaging. Finally, the experiments are carried out to validate the effectiveness of proposed method, which the reconstruction accuracy can reach 0.05mm.