3D object reconstruction from uncalibrated images using a single off-the-shelf camera

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2008

Autores

Teresa C. S. Azevedo (Autor) Outra; João Manuel R. S. Tavares (Autor) FEUP; Mário A. P. Vaz (Autor) FEUP

Ata de Conferência Internacional

Título: VIPimage 2007

Páginas: 203-208

VIPimage - I ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Taylor & Francis, ISBN: 978-0-415-45777-4, Editors: João Manuel R. S. Tavares and R. M. Natal Jorge

Faculdade de Engenharia da Universidade do Porto, Porto, Portugal, 17-19 October 2007

Indexação

ISI Web of Knowledge - 0 Citações

ISI Web of Science

Scopus - 2 Citações

Classificação Científica

CORDIS: Ciências Tecnológicas > Engenharia

Outras Informações

ID Authenticus: P-004-2WV

Abstract (EN): 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 object¿s 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6