Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/6824
Author(s): Teresa C. S. Azevedo
João Manuel R. S. Tavares
Mário A. P. Vaz
Title: 3D object reconstruction from uncalibrated images using an off-the-shelf camera
Issue Date: 2009
Abstract: Three-dimensional (3D) objects reconstruction using just bi-dimensional (2D) images has been a major research topic in Computer Vision. However, it is still a hard problem to address, when automation, speed and precision are required and/or the objects have complex shapes or image properties. In this paper, we compare two Active Computer Vision methods frequently used for the 3D reconstruction of objects from image sequences, acquired with a single off-the-shelf CCD camera: Structure From Motion (SFM) and Generalized Voxel Coloring (GVC). SFM recovers the 3D shape of an object based on the relative motion involved, while VC is a volumetric method that uses photo-consistency measures to build the required 3D model. Both methods considered do not impose any kind of restrictions on the relative motion involved.
Subject: Engenharia, Engenharia electrotécnica, electrónica e informática
Engineering, Electrical engineering, Electronic engineering, Information engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
URI: https://repositorio-aberto.up.pt/handle/10216/6824
Source: Advances in Computational Vision and Medical Image Processing: Methods and Applications
Document Type: Capítulo ou Parte de Livro
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Capítulo ou Parte de Livro

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