Photogrammetric Computer Vision

Statistics, Geometry, and Reconstruction

Wolfgang Förstner, Bernhard P. Wrobel

A Springer book



NEW: online available (10/2016)

Foreword

Introduction

Table of contents

List of figures, tables, and algorithms

Sample section

Index

Slides of lectures

Code for figures and examples

Material to exercises

Errata


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.

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. ... more

to top

Introduction

pages 1-2

to top

Table of contents

One-level table of contents

Two-level table of contents

Three-level table of contents

to top

List of figures, tables, and algorithms

List of figures

List of tables

List of algorithms

to top

Sample section

Have a look at a smple section: Homogeneous Vectors and Matrices (Section 5.1)

to top

Index

Have a look at the Index

to top

Slides for lectures

Slides by Cyrill Stachniss Bonn: Photogrammetry I and II (links to slides and podcasts)

to top

Matlab-Code for figures and exercises

This part of the home page is still under construction.

All routines (zip, 2.98 Mbyte)
Last update: 2016-10-04

Routines chapterwise:

to top

Material for exercises

to top

Errata

A PDF file of errata. (30 Nov 2016)


Please send any information which could improve the book to PCV-A-mail-address.

to top



PCV-A-mail-address
Last modified: Mon Dec 12 CEST 2016