3D scene and object reconstruction from digital images
New technologies, such as 3D printers, autonomous cars and robots for instance, originating from advances in Computer Vision and other fields, have been causing an increasingly high interest in robust 3D reconstruction pipelines, and particularly, scene reconstruction. Through use of these methods,...
| Autores: | , , , , , , |
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| Tipo de documento: | artigo |
| Estado: | Versão publicada |
| Data de publicação: | 2023 |
| País: | Brasil |
| Recursos: | Universidade do Oeste Paulista (UNOESTE) |
| Repositório: | Colloquium Exactarum |
| Idioma: | português |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/4420 |
| Acesso em linha: | https://journal.unoeste.br/index.php/ce/article/view/4420 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Computer Vision 3D Reconstruction Epipolar Geometry Structure from Motion Multi-View Stereo Visão Computacional Reconstrução 3D Geometria Epipolar |
| Resumo: | New technologies, such as 3D printers, autonomous cars and robots for instance, originating from advances in Computer Vision and other fields, have been causing an increasingly high interest in robust 3D reconstruction pipelines, and particularly, scene reconstruction. Through use of these methods, it is possible to create an application that takes digital photographs of an object or environment 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 parts replication with the use of a 3D printer for instance. In this paper, we address, present, discuss and implement methods that concern the different stages of a traditional 3D reconstruction pipeline using only digital images. |
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