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

• Type: Article in International Conference Proceedings Book
• Date: 2008

Authors

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

Conference proceedings International

Title: VIPimage 2007

Pages: 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

Indexing

ISI Web of Knowledge - 0 Citations

ISI Web of Science

Scopus - 2 Citations

Scientific classification

CORDIS: Technological sciences > Engineering

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6