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Author(s): Teresa C. S. Azevedo
João Manuel R. S. Tavares
Mário A. P. Vaz
Title: 3D object reconstruction from uncalibrated images using a single off-the-shelf camera
Issue Date: 2008
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 solve, when automation, speed and precision are required and/or the objects present complex shapes and visual properties. In this paper, we compare two Active Computer Vision methods commonly 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 using the camera(s)s or objects movement, while VC is a volumetric method that uses photoconsistency measures to build a 3D model for the object. Both methods considered do not impose any kind of restrictions to the relative motion involved.
Subject: Engenharia
Source: VIPimage 2007
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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