RECONSTRUÇÃO 3D DE CENAS E OBJETOS A PARTIR DE IMAGENS DIGITAIS

Abstract

New technologies, such as 3D printers and autonomous cars for instance, originating from advances in Computer Vision and other fields, have been causing an increasingly high interest in robust pipelines for 3D reconstruction of real environments and objects. Through use of 3D reconstruction methods, it is possible to create an application that takes digital photographs of an observed scene as inputs and is capable of obtaining a 3D model that represents it. This model could then be used in a wide range of applications, such as game asset generation, video manipulation with special effects or object replication with the use of a 3D printer, for instance. In this paper, we address, present and discuss methods that concern the different stages of a traditional 3D reconstruction pipeline from digital images only in the implementation and use of computational tools that were capable of generating 3D models that represent a scene observed these images with high fidelity.