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Titlebook: Calibration and Orientation of Cameras in Computer Vision; Armin Gruen,Thomas S. Huang Book 2001 Springer-Verlag Berlin Heidelberg 2001 St

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发表于 2025-3-21 16:38:24 | 显示全部楼层 |阅读模式
书目名称Calibration and Orientation of Cameras in Computer Vision
编辑Armin Gruen,Thomas S. Huang
视频video
概述Brings together concepts as not found in the literature.Brings numerous examples from industry.Useful for scientists and engineers alike
丛书名称Springer Series in Information Sciences
图书封面Titlebook: Calibration and Orientation of Cameras in Computer Vision;  Armin Gruen,Thomas S. Huang Book 2001 Springer-Verlag Berlin Heidelberg 2001 St
描述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
出版日期Book 2001
关键词Stereo; calibration; computer vision; image analysis; modeling
版次1
doihttps://doi.org/10.1007/978-3-662-04567-1
isbn_softcover978-3-642-08463-8
isbn_ebook978-3-662-04567-1Series ISSN 0720-678X
issn_series 0720-678X
copyrightSpringer-Verlag Berlin Heidelberg 2001
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Minimum Solutions for Orientation,latest developments and also by looking back at the early beginnings of orientation procedures of photogrammetry to demonstrate that there are already answers to a lot of the conceptual questions of today. The first part of the chapter is devoted to the historical roots of orientation approaches and
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Photogrammetric Camera Component Calibration: A Review of Analytical Techniques,ic accuracy is the subject of camera system calibration. Analytical camera calibration techniques developed over the past four decades in photogrammetry are very applicable to the video cameras used in today’s machine vision systems. This chapter reviews modern analytical camera calibration techniqu
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Least-Squares Camera Calibration Including Lens Distortion and Automatic Editing of Calibration Poie. The distortion terms are relative to the optical axis, which is included in the model so that it does not have to be orthogonal to the image sensor plane. A priori standard deviations can be used to apply weight to zero values for the distortion terms and to zero difference between the optical ax
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System Calibration Through Self-Calibration,ject space coordinates or object features, camera exterior and interior orientation parameters, and models other systematic errors as well. Therefore, because of its flexibility, it may be used in stereo, multi-frame systems, egomotion computations, etc. This chapter gives a brief introduction to th
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Self-Calibration of a Stereo Rig from Unknown Camera Motions and Point Correspondences,whose 3D model is a priori known. We show theoretically and with experiments on real images, how it is possible to completely calibrate a stereo rig, that is to determine each camera’s intrinsic parameters and the relative displacement between the two or three cameras, using only point matches obtai
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0720-678X a new and fresh look at various calibration and orientation issues became obvious. Here most activities emerged through the computer vision commu978-3-642-08463-8978-3-662-04567-1Series ISSN 0720-678X
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