3D surface reconstruction based on binocular vision using structured light

A 3D surface reconstruction method using a binocular stereo vision technology and a coded structured light, which combines a gray code with phase-shift has been studied. The accuracy of the 3D surface reconstruction mainly depends on the decoding of gray code views and phase-shift views. In order to find the boundary accurately, gray code patterns and their inverses are projected onto a human eye plaster model. The period dislocation between the gray code views and the phase-shift views in the course of decoding has been analyzed and a new method has been proposed to solve it. The splicing method is based on feature points. The result of the 3D surface reconstruction shows the accuracy and reliability of our method.