Possibility estimation of 3D scene reconstruction from multiple images

This paper presents a pixel-by-pixel possibility estimation of 3D scene reconstruction from multiple images. This method estimates conjugate pairs number with convolutional neural networks for further 3D reconstruction using classic approach. We considered neural networks that showed good results in semantic segmentation problem. The efficiency criterion of an algorithm is the resulting estimation accuracy. We conducted all experiments on images from Unity 3d program. The results of experiments showed the effectiveness of our approach in 3D scene reconstruction problem.