9783540652830-3540652833-Calibration and Orientation of Cameras in Computer Vision (Springer Series in Information Sciences, 34)

Calibration and Orientation of Cameras in Computer Vision (Springer Series in Information Sciences, 34)

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Summary

Calibration and Orientation of Cameras in Computer Vision (Springer Series in Information Sciences, 34) (ISBN-13: 9783540652830 and ISBN-10: 3540652833), written by authors Thomas S. Huang, Armin Gruen, was published by Springer in 2001. With an overall rating of 3.8 stars, it's a notable title among other AI & Machine Learning (Computer Simulation, Computer Science, Graphics & Design, Graphics & Multimedia, Programming, Software Design, Testing & Engineering, Electrical & Electronics, Engineering, Astrophysics, Physics, Geography, Earth Sciences) books. You can easily purchase or rent Calibration and Orientation of Cameras in Computer Vision (Springer Series in Information Sciences, 34) (Hardcover) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.

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