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

• Tipo: Capítulo ou Parte de Livro
• Data: 2009

Autores

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

Livro

Título: Advances in Computational Vision and Medical Image Processing: Methods and Applications

Páginas: 117-136

ISBN: 978-1-4020-9085-1

ISBN Eletrónico: 978-1-4020-9086-8

Editora: Springer

Indexação

Scopus - 28 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia

Outras Informações

ID Authenticus: P-00H-034

DOI: 10.1007/978-1-4020-9086-8_7

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 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 20