| 3D Reconstruction from Multiple Images, Part 1: Principles Contributor(s): Moons, Theo (Author), Van Gool, Luc (Author), Vergauwen, Maarten (Author) |
|
 |
ISBN: 1601982844 ISBN-13: 9781601982841 Publisher: Now Publishers OUR PRICE: $80.75 Product Type: Paperback - Other Formats Published: October 2009 |
| Additional Information |
| BISAC Categories: - Computers | Computer Vision & Pattern Recognition - Computers | Computer Graphics |
| Dewey: 006.693 |
| Series: Foundations and Trends(r) in Computer Graphics and Vision |
| Physical Information: 0.28" H x 6.14" W x 9.21" (0.42 lbs) 130 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |