
3D Reconstruction from Multiple Images
Part 1: Principles
now publishers Inc
1st Edition
Published on 22. March 2010
Book
Paperback/Softback
130 pages
978-1-60198-284-1 (ISBN)
Description
The issue discusses methods to extract 3-dimensional (3D) models from plain images. In particular, the 3D information is obtained from images for which the camera parameters are unknown. The principles underlying such uncalibrated structure-from-motion methods are outlined. First, a short review of 3D acquisition technologies puts such methods in a wider context, and highlights their important advantages. Then, the actual theory behind this line of research is given. The authors have tried to keep the text maximally self-contained, therefore also avoiding to rely on an extensive knowledge of the projective concepts that usually appear in texts about self-calibration 3D methods. Rather, mathematical explanations that are more amenable to intuition are given. The explanation of the theory includes the stratification of reconstructions obtained from image pairs as well as metric reconstruction on the basis of more than 2 images combined with some additional knowledge about the cameras used. Readers who want to obtain more practical information about how to implement such uncalibrated structure-from-motion pipelines may be interested in two more Foundations and Trends issues written by the same authors. Together with this issue they can be read as a single tutorial on the subject.
More details
Series
Language
English
Place of publication
Hanover
United States
Target group
College/higher education
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 7 mm
Weight
194 gr
ISBN-13
978-1-60198-284-1 (9781601982841)
DOI
10.1561/0600000007
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Schweitzer Classification
Content
Preface 1: Introduction to 3D Acquisition 2: Principles of Passive 3D Reconstruction. References.