3D Reconstruction of GI Regions from Single Images

Abstract

3D shape reconstruction from images is one of the problem under investigation in the field of computer vision. Shape-from-shading (SfS) is an important approach which requires the reflectance properties of surface and light source position to infer the 3D shape. SfS is usually tested in medical applications without the availability of the ground truth data which makes the conclusion dubious. In this article SfS is applied on synthetic gastrointestinal regions and precise comparison is done between recovered shape and ground truth data by measuring the depth error and correlation between them. Results shows that SfS can recover the shapes quite well if penalized correctly.