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

• Type: Chapter or Part of a Book
• Date: 2009

Authors

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

Book

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

Pages: 117-136

ISBN: 978-1-4020-9085-1

Electronic ISBN: 978-1-4020-9086-8

Publisher: Springer

Indexing

Scopus - 31 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 20