Calibration and Orientation of Cameras in Computer Vision - With 77 Figures and 25 Tables (Springer Series in Information Sciences, Vol. 34) Gruen, Armin; Huang, Thomas S. (Eds.)

Gruen, Armin; Huang, Thomas S. (Eds.)

ISBN 10: 3540652833 / ISBN 13: 9783540652830

Published by Springer, 2001

About this Item

Calibration and Orientation of Cameras in Computer Vision - With 77 Figures and 25 Tables (Springer Series in Information Sciences, Vol. 34) In deutscher Sprache. pages.

Seller Inventory # BN421696

Bibliographic Details

• Title: Calibration and Orientation of Cameras in Computer Vision - With 77 Figures and 25 Tables (Springer Series in Information Sciences, Vol. 34) Gruen, Armin; Huang, Thomas S. (Eds.)
• Publisher: Springer
• Publication Date: 2001
• Language: English
• ISBN 10: 3540652833
• ISBN 13: 9783540652830
• Binding: Hardcover
• Edition: 2001.
• Condition: gut
• Weight: 2000 grams

About this title

Synopsis

This book was conceived during the Workshop "Calibration and Orientation of Cameras in Computer Vision" at the XVIIth Congress of the ISPRS (In­ ternational Society of Photogrammetry and Remote Sensing), in July 1992 in Washington, D. C. The goal of this workshop was to bring photogrammetry and computer vision experts together in order to exchange ideas, concepts and approaches in camera calibration and orientation. These topics have been addressed in photogrammetry research for a long time, starting in the sec­ ond half of the 19th century. Over the years standard procedures have been developed and implemented, in particular for metric cameras, such that in the photogrammetric community such issues were considered as solved prob­ lems. With the increased use of non-metric cameras (in photogrammetry they are revealingly called "amateur" cameras), especially CCD cameras, and the exciting possibilities of acquiring long image sequences quite effortlessly and processing image data automatically, online and even in real-time, the need to take a new and fresh look at various calibration and orientation issues became obvious. Here most activities emerged through the computer vision commu­ nity, which was somewhat unaware as to what had already been achieved in photogrammetry. On the other hand, photogrammetrists seemed to ignore the new and interesting studies, in particular on the problems of orienta­ tion, that were being performed by computer vision experts.

From the Back Cover

This book brings together concepts and approaches from the fields of photogrammetry and computer vision. In particular, it examines techniques relating to quantitative image analysis, such as orientation, camera modelling, system calibration, self-calibration and error handling. The chapters have been contributed by experts in the relevant fields, and there are examples from automated inspection systems and other real-world cases. The book provides study material for students, researchers, developers and practitioners.