Multi-view stereo reconstruction relies on object’ s surface feature， and thus occurred data deficiency in dealing with low-texture regions， the polarization characteristics of the reflection light be fused to observe completely surface under different light surroundings， which can reconstruct depth map of objects by calculating polarization parameters and normal information. However， there appears several problems such as azimuth ambiguity and zenith angle deviation using pure polarization information for 3D reconstruction， which result in distortion of the reconstruction results and even couldn’t get the depth. For objects with low-texture regions， capturing images from around 30 views from four polarizing angles using polarization camera， and using parallax bundle adjustment to optimize camera parameters and points’ coordinate and using passion optimization method to correct zenith angle deviation， the 3D reconstruction algorithm combining the multi-view stereo and polarization information can not only replenish the local data deficiency of multi-view 3D point cloud， but also solve the azimuth ambiguity and zenith angle deviation， and finally get the more accurate 3D reconstruction results.