3D Modeling From 2D Images

This article will give an overview of the methods of transition from the set of images into 3D model. Direct method of creating 3D model using 3D software will be described. Creating photorealistic 3D models from a set of photographs is challenging problem in computer vision because the technology is still in its development stage while the demands for 3D technology and for new methods of 3D reconstruction are increasing rapidly. The traditional approach of computer graphics has been to create a geometric model in 3D and try to reproduce it onto a two-dimensional image with rendering. A method that is presented in this article, unlike traditional approach, explains ways to create photorealistic 3D models from 2D images. It is mostly focused on detecting, grouping, and extracting features (edges, faces, etc.) present in a given picture and then trying to interpret them as three-dimensional clues. The results obtained can be displayed using new technologies such as 3D monitor or printed on the 3D printer. In operational part of this article, it will be specifically explained how to create photorealistic human face from the set of images with two different methods automatic and direct. We will offer a solution to the problems that occur in the reconstruction of 3D models from photos, such as variations in geometric scale and a mix of textured, uniformly colored, and reflective surfaces.