Fusing 3D shapes at different view points to obtain more accurate shape

We obtain an exact 3D model of a scene using multiple images from different camera positions. The recovery of a 3D shape using two images has problems such as being weak in noise. Therefore we present methods to improve the accuracy of 3D shapes with multiple images. The system is divided into three stages: (1) the recovery of 3D shapes from different viewpoints, (2) fusing the 3D shapes to obtain a para-ideal shape, and (3) removing the outlier shapes and feature points by an evaluation function, and fusing the rest of the shapes. We demonstrate a significant improvement in the recovered shape. Experimental results show that our system performs well in removing noise with robustness. The maximum noise reduction rate was 82% in real image experiments