Panoramic Imaging

Reinhard Klette is currently a Professor and Chair in Information Technology at the University of Auckland, New Zealand. He is an experienced author, having already co-written the books Digital Geometry: Geometric Methods for Digital Picture Analysis (Morgan Kaufmann, 2004), Computer Vision: Three-Dimensional Data from Images (Springer, 2001) and Handbook of Image Processing Operators (Wiley, 1996), and co-edited the books Geometric Properties for Incomplete Data (Kluwer, 2005), Performance Characterization in Computer Vision (Kluwer, 2000) and Geometry, Morphology, and Computational Imaging (Kluwer, 2003). He has also co-authored over 80 journal papers, and over 160 conference papers. He teaches courses in Picture Processing and Analysis and Computer Vision and his research interests are in shape recovery and scene/object visualisation based on captured pictures/video, geometric subjects relevant to picture analysis and computer vision, and applications of picture analysis/computer vision.Fay Huang finished her PhD on the geometry and applications of rotating line cameras in 2002. She was supervised by Reinhard Klette at the University of Auckland, New Zealand.Karsten Scheibe is currently completing his PhD on combining laser range data with images captured by rotating line cameras. He is involved in major projects in Germany using this technology, such as a full 3D reconstruction of castle Neuschwanstein based on 1800 laser scans and hundreds of panoramic images for texture mapping.

• Preface. Series Preface.Website and Exercises.List of Symbols.1. Introduction.1.1 Panoramas1.2 Panoramic Paintings1.3 Panoramic or Wide-Angle Photographs1.4 Digital Panoramas1.5 Striving for Accuracy1.6 Exercises1.7 Further Reading2. Cameras and Sensors.2.1 Camera Models2.2 Optics2.3 Sensor Models2.4 Examples and Challenges2.5 Exercises2.6 Further Reading3. Spatial Alignments.3.1 Mathematical Fundamentals3.2 Central Projection:World into Image Plane3.3 Classification of Panoramas3.4 Coordinate Systems for Panoramas3.5 General Projection Formula for Cylindrical Panorama3.6 Rotating Cameras3.7 Mappings between Different Image Surfaces3.8 Laser Range-Finder3.9 Exercises3.10 Further Reading4. Epipolar Geometry.4.1 General Epipolar Curve Equation4.2 Constrained Poses of Cameras4.3 Exercises4.4 Further Reading5. Sensor Calibration.5.1 Basics5.2 Preprocesses for a Rotating Sensor-Line Camera5.3 A Least-Square Error Optimization Calibration Procedure5.4 Geometric Dependencies of R and w5.5 Error Components in LRF Data5.6 Exercises5.7 Further Reading6. Spatial Sampling.6.1 Stereo Panoramas6.2 Sampling Structure6.3 Spatial Resolution6.4 Distances between Spatial Samples6.5 Exercises6.6 Further Reading7. Image Quality Control.7.1 Two Requirements7.2 Terminology7.3 Parameter Optimization7.4 Error Analysis7.5 Exercises7.6 Further Reading8. Sensor Analysis and Design.8.1 Introduction8.2 Scene Composition Analysis8.3 Stereoacuity Analysis8.4 Specification of Camera Parameters8.5 Exercises8.6 Further Reading9. 3D Meshing and Visualization.9.1 3D Graphics9.2 Surface Modeling9.3 More Techniques for Dealing with Digital Surfaces9.4 Exercises9.5 Further Reading10. Data Fusion.10.1 Determination of Camera Image Coordinates10.2 Texture Mapping10.3 High Resolution Orthophotos10.4 Fusion of Panoramic Images and Airborne Data10.5 Exercises10.6 Further ReadingReferences.Index.