Photogrammetric Computer Vision

Author: Wolfgang Förstner
Publisher: Springer
ISBN: 9783319115504
Release Date: 2016-10-04
Genre: Computers

This textbook offers a statistical view on the geometry of multiple view analysis, required for camera calibration and orientation and for geometric scene reconstruction based on geometric image features. The authors have backgrounds in geodesy and also long experience with development and research in computer vision, and this is the first book to present a joint approach from the converging fields of photogrammetry and computer vision. Part I of the book provides an introduction to estimation theory, covering aspects such as Bayesian estimation, variance components, and sequential estimation, with a focus on the statistically sound diagnostics of estimation results essential in vision metrology. Part II provides tools for 2D and 3D geometric reasoning using projective geometry. This includes oriented projective geometry and tools for statistically optimal estimation and test of geometric entities and transformations and their relations, tools that are useful also in the context of uncertain reasoning in point clouds. Part III is devoted to modelling the geometry of single and multiple cameras, addressing calibration and orientation, including statistical evaluation and reconstruction of corresponding scene features and surfaces based on geometric image features. The authors provide algorithms for various geometric computation problems in vision metrology, together with mathematical justifications and statistical analysis, thus enabling thorough evaluations. The chapters are self-contained with numerous figures and exercises, and they are supported by an appendix that explains the basic mathematical notation and a detailed index. The book can serve as the basis for undergraduate and graduate courses in photogrammetry, computer vision, and computer graphics. It is also appropriate for researchers, engineers, and software developers in the photogrammetry and GIS industries, particularly those engaged with statistically based geometric computer vision methods.

Photogrammetric Computer Vision

Author: Wolfgang Förstner
Publisher: Springer
ISBN: 3319115510
Release Date: 2016-05-09
Genre: Computers

This book is about concepts and methods for developing software for automatically analyzing images, with a focus on main application areas, mapping and image-based metrology. The first part of the book introduces the related statistics and estimation theory required, including probability theory, testing and estimation. The second part of the book explains all aspects of the related geometry, with chapters on homogeneous representations of points, lines and planes; transformations; geometric operations; rotations; oriented projective geometry; and reasoning with uncertain geometric entities. The third part of the book explains orientation and reconstruction. The book is suitable for advanced undergraduate and graduate students, practitioners, and researchers in computer vision.

Calibration and Orientation of Cameras in Computer Vision

Author: Armin Gruen
Publisher: Springer Science & Business Media
ISBN: 9783662045671
Release Date: 2013-03-09
Genre: Computers

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.

Precision Landmark Location for Machine Vision and Photogrammetry

Author: José A. Gutierrez
Publisher: Springer Science & Business Media
ISBN: 9781846289132
Release Date: 2007-10-25
Genre: Computers

This book addresses the problem of measurement error associated with determining the location of landmarks in images. The least possible photogrammetric uncertainty in a given situation is determined using the Cramér–Rao Lower Bound (CRLB). The monograph provides the reader with: the most complete treatment to date of precision landmark location and the engineering aspects of image capture and processing; detailed theoretical treatment of the CRLB, and more.

Close Range Photogrammetry and 3D Imaging

Author: Thomas Luhmann
Publisher: Walter de Gruyter
ISBN: 9783110302783
Release Date: 2014-01-01
Genre: Science

This is the second edition of the well-known guide to close-range photogrammetry. It provides a thorough presentation of the methods, mathematics, systems and applications which comprise the subject of close-range photogrammetry, which uses accurate imaging techniques to analyse the three-dimensional shape of a wide range of manufactured and natural objects.

Guide to 3D Vision Computation

Author: Kenichi Kanatani
Publisher: Springer
ISBN: 9783319484938
Release Date: 2016-12-09
Genre: Computers

This classroom-tested and easy-to-understand textbook/reference describes the state of the art in 3D reconstruction from multiple images, taking into consideration all aspects of programming and implementation. Unlike other computer vision textbooks, this guide takes a unique approach in which the initial focus is on practical application and the procedures necessary to actually build a computer vision system. The theoretical background is then briefly explained afterwards, highlighting how one can quickly and simply obtain the desired result without knowing the derivation of the mathematical detail. Features: reviews the fundamental algorithms underlying computer vision; describes the latest techniques for 3D reconstruction from multiple images; summarizes the mathematical theory behind statistical error analysis for general geometric estimation problems; presents derivations at the end of each chapter, with solutions supplied at the end of the book; provides additional material at an associated website.


Author: Karl Kraus
Publisher: Walter de Gruyter
ISBN: 9783110892871
Release Date: 2007-01-01
Genre: Science

This textbook deals with the basics and methods of photogrammetry and laser scanning which are used to determine the form and location of objects, with measurements provided by sensors placed in air planes as well as on terrestrial platforms. Many examples and exercises with solutions are included. Photogrammetry, Laserscanning.

Machine Vision Algorithms and Applications

Author: Carsten Steger
Publisher: John Wiley & Sons
ISBN: 9783527413652
Release Date: 2018-02-12
Genre: Science

The second edition of this successful machine vision textbook is completely updated, revised and expanded by 15% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications. The new content includes, but is not limited to, a discussion of new cameras and image acquisition interfaces, 3D sensors and technologies, 3D object recognition and 3D image reconstruction. The authors retain their balanced approach with sufficient coverage of the theory and a strong focus on applications. All examples are based on the latest version of the machine vision software HALCON 13, a trial version of which is available from the authors' website.

Introduction to modern photogrammetry

Author: Edward M. Mikhail
Publisher: John Wiley & Sons Inc
ISBN: 0471309249
Release Date: 2001
Genre: Mathematics

This book is designed to give the reader a strong grounding in the mathematical basis of photogrammetry while introducing them to the related fields, such as remote sensing and digital image processing, which are increasingly important to photogrammetric research and practice.

Digital Photogrammetry

Author: Wilfried Linder
Publisher: Springer Science & Business Media
ISBN: 9783540927259
Release Date: 2009-01-23
Genre: Science

1.1 Basic idea and main task of photogrammetry If you want to measure the size of an object, let’s say the length, width and height of a house, then normally you will carry this out directly at the object. Now imagine that the house didn’t exist anymore – it was destroyed, but some historic photos exist. Then, if you can determine the scale of the photos, it must be pos- ble to get the desired data. Of course you can use photos to get information about objects. This kind of - formation is different: So, for example, you may receive qualitative data (the house seems to be old, the walls are coloured light yellow) from photo interpre- tion, or quantitative data like mentioned before (the house has a base size of 8 by 6 meters) from photo measurement, or information in addition to your background knowledge (the house has elements of the “art nouveau” style, so may be c- th structed at the beginning of the 20 century), and so on.