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Contents
Reviews
List of figures, tables, and algorithms
Photogrammetric Record (M. Gerke)
Journal on Photogrammetric Engineering and Remote sensing (C. Toth and S. Walker)
Journal of Photogrammetry, Remote Sensing and Geoinformation Science (F. Rottensteiner)
The book is the first to offer a joint view of photogrammetry and computer vision, two fields that have converged in recent decades. It is motivated by the need for a conceptually consistent theory aiming at generic solutions for orientation and reconstruction problems. ...
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Matlab demos are tested under Matlab 2010b and 2016b. They partially require the following toolboxes
Foreword
This textbook on Photogrammetric Computer Vision - Statistics, Geometry, Orientation and Reconstruction provides a statistical treatment of the geometry of multiple view analysis useful for camera calibration, orientation and geometric scene reconstruction. It is the first of two volumes, the second will cover aspects of image processing, analysis, and interpretation.
Table of contents
One-level table of contents
List of figures, tables, and algorithms
List of figures
Sample section
Have a look at a sample section: Homogeneous Vectors and Matrices (Section 5.1)
Index
Have a look at the Index
Slides for lectures
Slides by Cyrill Stachniss Bonn:
Photogrammetry I and II (links to slides and podcasts)
Matlab-Code for figures and exercises
All routines (zip, 87.2 Mbyte)
Last update: 2018-07-19
Documentation
Last update: 2018-07-21
Routines chapterwise:
History
Documentation
All routines
General Functions
Estimation
Geometry
Surface reconstruction
Profile reconstruction (zip, 0.14 Mbyte), requires General Functions
Surface reconstruction (zip, 1.2 Mbyte), requires General Functions
General Functions (zip, 0.15 Mbyte)
All routines (zip, 2.98 Mbyte)
Material for exercises
Errata
A PDF file of errata. (1. Aug. 2018)
Please send any information which could improve the book to PCV-A-mail-address.
PCV-A-mail-address
Last modified: Sat July 21 CEST 2018