3D Object Reconstruction from Uncalibrated Images Using an Off-the-Shelf Camera

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2009

Autores

Teresa C. S. Azevedo (Autor) FEUP; João Manuel R. S. Tavares (Autor) FEUP; Tavares, RS (Autor) Outra; Vaz, MAP (Autor) Outra

Ata de Conferência Internacional

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

Páginas: 117-136

Indexação

ISI Web of Knowledge - 22 Citações

Outras Informações

ID Authenticus: P-003-NXJ

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