3D Volumetric Reconstruction and Characterization of Objects from Uncalibrated Images

• Type: Article in International Conference Proceedings Book
• Date: 2007

Authors

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

Conference proceedings International

Title: Seventh IASTED International Conference on Visualization, Imaging, and Image Processing

Pages: 141-146

Seventh IASTED International Conference on Visualization, Imaging, and Image Processing ~VIIP 2007~ ISBN: 978-0-88986-691-1, ACTA Press

Palma de Mallorca, Spain, 29-31 August, 2007

Indexing

ISI Web of Knowledge - 2 Citations

ISI Web of Science

Scopus - 3 Citations

Scientific classification

FOS: Engineering and technology > Mechanical engineering

CORDIS: Physical sciences > Physics > Biophysics > Biomechanics

Other information

Authenticus ID: P-004-EEG

Abstract (EN): Three-dimensional (3D) object reconstruction using only bi-dimensional (2D) images has been a major research topic in Computer Vision. However, it is still a complex problem to solve, when automation, speed and precision are required. In the work presented in this paper, we developed a computational platform with the main purpose of building 3D geometric models from uncalibrated images of objects. Simplicity and automation were our major guidelines to choose volumetric reconstruction methods, such as Generalized Voxel Coloring. This method uses photo-consistency measures to build an accurate 3D geometric model, without imposing any kind of restrictions on the relative motion between the camera used and the object to be reconstructed. Our final goal is to use our computational platform in building and characterize human external anatomical shapes using a single off-the-shelf camera.

Language: Portuguese

Type (Professor's evaluation): Scientific