
Photogrammetry
Description
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Content
- Cover
- Table of contents
- Introduction
- VOLUME 3B : CHAPTER 1 Close-Range Photogrammetry with Laser Scan Point Clouds
- Introduction
- Test Methods and Data Acquisition
- Data Processing and Evidence Location
- Digital Image Processing
- Site Diagram
- Analysis in Photomodeler
- Analysis in Leica Cyclone
- Error Analysis
- Results
- Discussion
- Conclusions
- References
- VOLUME 3B: CHAPTER 2 A Close-Range Photogrammetric Solution Working with Zoomed Images from Digital Cameras
- Introduction
- Overview of Zoom-Dependent (Z-D) Analysis
- Illustrative Photogrammetric Study
- Z-D Calibration Procedure
- Small-Scale "Vehicle" Network Measurement of the Porsche 911
- Discussion of the Vehicle Z-D Networks
- Large-Scale Network Measurement of Natural Features in a Parking Lot Scene
- Scaling the Networks
- Discussion of Results
- Small-Scale Projects
- DSLR Cameras-Incident and Exemplar Z-D Calibrations
- DSLR Cameras-Using EXIF Focal Length
- PAS Cameras-Kodak C142-Incident and Exemplar Z-D Calibrations
- PAS Cameras-Kodak C142-Using EXIF Focal Length
- PAS Cameras-Kodak C142-Using FOOM Calibration
- PAS Cameras-Nikon S510-Incident Z-D Calibrations
- PAS Cameras-Nikon S510-Using EXIF Focal Length
- PAS Cameras-Canon SD 1300 IS-Incident Z-D Calibration
- PAS Cameras-Canon SD 1300 IS-Using EXIF Focal Length
- Large-Scale Project
- General Observations
- Conclusions and Recommendations
- References
- VOLUME 3B: CHAPTER 3 Four-Point Planar Homography Algorithm for Rectification Photogrammetry: Development and Applications
- Introduction
- Methods
- Geometry
- Linear Map
- Four Control Points
- Conditioning
- Four-Point Algorithm
- Results
- Case Study 1
- Discussion
- Conclusion
- References
- Acknowledgment
- Appendix
- Appendix A
- Case Study 2
- Laboratory Data Study
- VOLUME 3B: CHAPTER 4 Video Projection Mapping Photogrammetry through Video Tracking
- Introduction
- Background
- Procedure
- Documenting the Accident Scene
- Processing and Tracking the Video Footage to Make a 3D Computer Model
- Projection Mapping From Video onto the Computer Model
- Evaluation of the Accuracy of Projection Mapping
- Conclusions
- References
- VOLUME 3B: CHAPTER 5 Applying Camera Matching Methods to Laser-Scanned Three-Dimensional Scene Data with Comparisons to Other Methods
- Introduction
- Photogrammetry Methods Used
- Photogrammetry Software
- Photogrammetry Using Point Cloud Data
- Photograph Rectification of Point Cloud Data
- Camera Matching to Point Cloud Data
- Photogrammetry Using 3D Scanner Data
- The Method of Virtual Camera Matching to a Scene
- Applying the Virtual Camera Matching Method to a Complex Crash on Sloped Terrain
- Accuracy Comparison for the Staged Collision
- Photograph Considerations for Camera Matching Photogrammetry
- Summary/Conclusions
- References
- Acknowledgments
- Appendix
- VOLUME 3B: CHAPTER 6 Accuracy of SUAS Photogrammetry for Use in Accident Scene Diagramming
- Introduction
- Method
- Total Station Measurement
- Photogrammetric Measurement
- Results
- Discussion
- Summary/Conclusions
- References
- Acknowledgments
- Appendix
- Appendix A: Measurement Data
- Appendix B: Mock Accident Scene Diagrams
- Appendix C: Mock Accident Scene Orthophotos
- VOLUME 3B: CHAPTER 7 The Accuracy of an Optimized, Practical Close-Range Photogrammetry Method for Vehicular Modeling
- Introduction
- Methodology
- Photogrammetry
- Total Station
- FaroArm
- Data Comparison
- Photogrammetry vs. Total Station
- Photogrammetry vs. FaroArm
- Results
- Photogrammetry vs. Total Station
- Photogrammetry vs. FaroArm
- Discussion
- Summary/Conclusions
- References
- Acknowledgments
- Appendix
- Appendix A-Photographs used for Acura Photogrammetry vs. Total Station Model
- Appendix B-Photographs used for Chrysler Photogrammetry vs. Total Station Model
- Appendix C-Photographs used for VW Photogrammetry vs. Total Station Model
- Appendix D-Photographs used for Acura Photogrammetry vs. Faroarm Model
- Appendix E-Photogrammetry Data for Acura Photogrammetry vs. Total Station Model
- Appendix F -Photogrammetry Data for Chrysler Photogrammetry vs. Total Station Model
- Appendix G-Photogrammetry Data for VW Photogrammetry vs. Total Station Model
- Appendix H-Photogrammetry Data for Acura Photogrammetry vs. Faroarm Model
- VOLUME 3B: CHAPTER 8 Evaluation of the Accuracy of Image-Based Scanning as a Basis for Photogrammetric Reconstruction of Physical Evidence
- Introduction
- Underlying Concepts-Image-Based Scanning
- Advantages of Unmanned Aerial Vehicles
- Methodology
- Results
- Discussion and Conclusions
- References
- Appendix
- Appendix A-Images of Photogrammetric Process
- Appendix B-Comparison of Individual Reconstructed Points to FARO Scan Data
- VOLUME 3B: CHAPTER 9 An Evaluation of Two Methodologies for Lens Distortion Removal when EXIF Data is Unavailable
- Introduction
- Background
- Methodology
- Cameras
- Physical Study Site Layout and Documentation
- Automatic, Library-Based Method
- Straight-Line Method
- Point Cloud Method
- Analysis/Results
- Straight-Line Method: Radial Pixel Movement
- Straight-Line Method: Photogrammetry
- Point Cloud Method: Radial Pixel Movement
- Point Cloud Method: Photogrammetry
- Camera Locations
- Conclusions
- References
- Acknowledgments
- Definitions/Abbreviations
- Appendix
- Appendix A
- Appendix B
- About the Author
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