This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Accuracies in Single Image Camera Matching Photogrammetry
Technical Paper
2021-01-0888
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Event:
SAE WCX Digital Summit
Language:
English
Abstract
Forensic disciplines are called upon to locate evidence from a single camera or static video camera, and both the angle of incidence and resolution can limit the accuracy of single image photogrammetry. This research compares a baseline of known 3D data points representing evidence locations to evidence locations determined through single image photogrammetry and evaluates the effect that object resolution (measured in pixels), and angle of incidence has on accuracy. Solutions achieved using an automated process where a camera match alignment is calculated from common points in the 2D imagery and the 3D environment, were compared to solutions achieved in a more manual method by iteratively adjusting the camera’s position, orientation, and field-of-view until an alignment is achieved. This research independently utilizes both methods to achieve photogrammetry solutions and to locate objects within a 3D environment. Results are compared for a greater understanding of the accuracies that can be achieved using camera matching photogrammetry for evidence placement when only a single image is available.
Authors
Citation
Terpstra, T., Hashemian, A., Gillihan, R., King, E. et al., "Accuracies in Single Image Camera Matching Photogrammetry," SAE Technical Paper 2021-01-0888, 2021, https://doi.org/10.4271/2021-01-0888.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| Unnamed Dataset 1 | ||
| Unnamed Dataset 2 | ||
| Unnamed Dataset 3 | ||
| Unnamed Dataset 4 | ||
| Unnamed Dataset 5 | ||
| Unnamed Dataset 6 | ||
| Unnamed Dataset 7 | ||
| Unnamed Dataset 8 | ||
| Unnamed Dataset 9 |
Also In
References
- Wolf , P. , Dewitt , B. , and Wilkinson , B. Elements of Photogrammetry with Application in GIS 4/E Edition New York McGraw-Hill Professional Publishing 2014
- Terpstra , T. , Dickinson , J. , Hashemian , A. , and Fenton , S. Reconstruction of 3D Accident Sites Using USGS LiDAR, Aerial Images, and Photogrammetry SAE Technical Paper 2019-01-0423 2019 https://doi.org/10.4271/2019-01-0423
- Terpstra , T. , Hashemian , A. , Voitel , T. , and Priest , J. A Comparison of Metrology Used in Documenting Shooting Incident Trajectories J. Association for Crime Scene Reconstruction 2020
- Neale , W. , Marr , J. , and Hessel , D. Video Projection Mapping Photogrammetry through Video Tracking SAE Technical Paper 2013-01-0788 2013 https://doi.org/10.4271/2013-01-0788
- Bailey , A. , Funk , J. , Lessley , D. , Sherwood , C. , Crandall , J. , Neale , W. , and Rose , N. Validation of a Videogrammetry Technique for Analyzing American Football Helmet Kinematics Sports Biomechanics 19 5 2018 678 700 10.1080/14763141.2018.1513059
- Terpstra , T. , Dickinson , J. , and Hashemian , A. Using Multiple Photographs and USGS LiDAR to Improve Photogrammetric Accuracy SAE Technical Paper 2018-01-0516 2018 https://doi.org/10.4271/2018-01-0516
- Wu , S.S.C. Photogrammetric Applications/13.6.2.3 Multiple Photograph Analysis McGlone , C.J. , Lee , Y.G. Manual of Photogrammetry 6th 1128-28 Bethesda, MD American Society for Photogrammetry and Remote Sensing 2013
- Terpstra , T. , Beier , S. , and Neale , W. The Application of Augmented Reality to Reverse Camera Projection SAE Technical Paper 2019-01-0424 2019 https://doi.org/10.4271/2019-01-0424
- Woolley , R. , White , K. , Asay , A. , and Bready , J. Determination of Vehicle Crush from Two Photographs and the Use of 3D Displacement Vectors in Accident Reconstruction SAE Technical Paper 910118 1991 https://doi.org/10.4271/910118
- Terpstra , T. , Voitel , T. , and Hashemian , A. A Survey of Multi-View Photogrammetry Software for Documenting Vehicle Crush SAE Technical Paper 2016-01-1475 2016 https://doi.org/10.4271/2016-01-1475
- Luhmann , T. , Stuart , R. , Stephen , K. , and Jan , B. Close-Range Photogrammetry and 3D Imaging 2nd Walter de Gruyter GmbH 2014
- Terpstra , T. , Miller , S. , and Hashemian , A. An Evaluation of Two Methodologies for Lens Distortion Removal When EXIF Data Is Unavailable SAE Technical Paper 2017-01-1422 2017 https://doi.org/10.4271/2017-01-1422