Description

Book Synopsis
Panoramic imaging is a progressive application and research area. This technology has applications in digital photography, robotics, film productions for panoramic screens, architecture, environmental studies, remote sensing and GIS technology. Applications demand different levels of accuracy for 3D documentation or visualizations.

This book describes two modern technologies for capturing high-accuracy panoramic images and range data, namely the use of sensor-line cameras and laser range-finders. It provides mathematically accurate descriptions of the geometry of these sensing technologies and the necessary information required to apply them to 3D scene visualization or 3D representation. The book is divided into three parts:

  • Part One contains a full introduction to panoramic cameras and laser range-finders, including a discussion of calibration to aid preparation of equipment ready for use.
  • Part Two explains the concept of stereo panoramic imaging,

    Table of Contents
    Preface.

    Series Preface.

    Website and Exercises.

    List of Symbols.

    1. Introduction.

    1.1 Panoramas

    1.2 Panoramic Paintings

    1.3 Panoramic or Wide-Angle Photographs

    1.4 Digital Panoramas

    1.5 Striving for Accuracy

    1.6 Exercises

    1.7 Further Reading

    2. Cameras and Sensors.

    2.1 Camera Models

    2.2 Optics

    2.3 Sensor Models

    2.4 Examples and Challenges

    2.5 Exercises

    2.6 Further Reading

    3. Spatial Alignments.

    3.1 Mathematical Fundamentals

    3.2 Central Projection:World into Image Plane

    3.3 Classification of Panoramas

    3.4 Coordinate Systems for Panoramas

    3.5 General Projection Formula for Cylindrical Panorama

    3.6 Rotating Cameras

    3.7 Mappings between Different Image Surfaces

    3.8 Laser Range-Finder

    3.9 Exercises

    3.10 Further Reading

    4. Epipolar Geometry.

    4.1 General Epipolar Curve Equation

    4.2 Constrained Poses of Cameras

    4.3 Exercises

    4.4 Further Reading

    5. Sensor Calibration.

    5.1 Basics

    5.2 Preprocesses for a Rotating Sensor-Line Camera

    5.3 A Least-Square Error Optimization Calibration Procedure

    5.4 Geometric Dependencies of R and w

    5.5 Error Components in LRF Data

    5.6 Exercises

    5.7 Further Reading

    6. Spatial Sampling.

    6.1 Stereo Panoramas

    6.2 Sampling Structure

    6.3 Spatial Resolution

    6.4 Distances between Spatial Samples

    6.5 Exercises

    6.6 Further Reading

    7. Image Quality Control.

    7.1 Two Requirements

    7.2 Terminology

    7.3 Parameter Optimization

    7.4 Error Analysis

    7.5 Exercises

    7.6 Further Reading

    8. Sensor Analysis and Design.

    8.1 Introduction

    8.2 Scene Composition Analysis

    8.3 Stereoacuity Analysis

    8.4 Specification of Camera Parameters

    8.5 Exercises

    8.6 Further Reading

    9. 3D Meshing and Visualization.

    9.1 3D Graphics

    9.2 Surface Modeling

    9.3 More Techniques for Dealing with Digital Surfaces

    9.4 Exercises

    9.5 Further Reading

    10. Data Fusion.

    10.1 Determination of Camera Image Coordinates

    10.2 Texture Mapping

    10.3 High Resolution Orthophotos

    10.4 Fusion of Panoramic Images and Airborne Data

    10.5 Exercises

    10.6 Further Reading

    References.

    Index.

Panoramic Imaging

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A Hardback by Fay Huang, Reinhard Klette, Karsten Scheibe

10 in stock


    View other formats and editions of Panoramic Imaging by Fay Huang

    Publisher: John Wiley & Sons Inc
    Publication Date: 10/10/2008
    ISBN13: 9780470060650, 978-0470060650
    ISBN10: 0470060654

    Description

    Book Synopsis
    Panoramic imaging is a progressive application and research area. This technology has applications in digital photography, robotics, film productions for panoramic screens, architecture, environmental studies, remote sensing and GIS technology. Applications demand different levels of accuracy for 3D documentation or visualizations.

    This book describes two modern technologies for capturing high-accuracy panoramic images and range data, namely the use of sensor-line cameras and laser range-finders. It provides mathematically accurate descriptions of the geometry of these sensing technologies and the necessary information required to apply them to 3D scene visualization or 3D representation. The book is divided into three parts:

    • Part One contains a full introduction to panoramic cameras and laser range-finders, including a discussion of calibration to aid preparation of equipment ready for use.
    • Part Two explains the concept of stereo panoramic imaging,

      Table of Contents
      Preface.

      Series Preface.

      Website and Exercises.

      List of Symbols.

      1. Introduction.

      1.1 Panoramas

      1.2 Panoramic Paintings

      1.3 Panoramic or Wide-Angle Photographs

      1.4 Digital Panoramas

      1.5 Striving for Accuracy

      1.6 Exercises

      1.7 Further Reading

      2. Cameras and Sensors.

      2.1 Camera Models

      2.2 Optics

      2.3 Sensor Models

      2.4 Examples and Challenges

      2.5 Exercises

      2.6 Further Reading

      3. Spatial Alignments.

      3.1 Mathematical Fundamentals

      3.2 Central Projection:World into Image Plane

      3.3 Classification of Panoramas

      3.4 Coordinate Systems for Panoramas

      3.5 General Projection Formula for Cylindrical Panorama

      3.6 Rotating Cameras

      3.7 Mappings between Different Image Surfaces

      3.8 Laser Range-Finder

      3.9 Exercises

      3.10 Further Reading

      4. Epipolar Geometry.

      4.1 General Epipolar Curve Equation

      4.2 Constrained Poses of Cameras

      4.3 Exercises

      4.4 Further Reading

      5. Sensor Calibration.

      5.1 Basics

      5.2 Preprocesses for a Rotating Sensor-Line Camera

      5.3 A Least-Square Error Optimization Calibration Procedure

      5.4 Geometric Dependencies of R and w

      5.5 Error Components in LRF Data

      5.6 Exercises

      5.7 Further Reading

      6. Spatial Sampling.

      6.1 Stereo Panoramas

      6.2 Sampling Structure

      6.3 Spatial Resolution

      6.4 Distances between Spatial Samples

      6.5 Exercises

      6.6 Further Reading

      7. Image Quality Control.

      7.1 Two Requirements

      7.2 Terminology

      7.3 Parameter Optimization

      7.4 Error Analysis

      7.5 Exercises

      7.6 Further Reading

      8. Sensor Analysis and Design.

      8.1 Introduction

      8.2 Scene Composition Analysis

      8.3 Stereoacuity Analysis

      8.4 Specification of Camera Parameters

      8.5 Exercises

      8.6 Further Reading

      9. 3D Meshing and Visualization.

      9.1 3D Graphics

      9.2 Surface Modeling

      9.3 More Techniques for Dealing with Digital Surfaces

      9.4 Exercises

      9.5 Further Reading

      10. Data Fusion.

      10.1 Determination of Camera Image Coordinates

      10.2 Texture Mapping

      10.3 High Resolution Orthophotos

      10.4 Fusion of Panoramic Images and Airborne Data

      10.5 Exercises

      10.6 Further Reading

      References.

      Index.

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