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Direct Linear Transformation from Comparator Coordinates into Object Space Coordinates in Close-Range Photogrammetry
Open accessAbstract
The January 8-9, 2015 Frozen Uas Tour Blows Into Grand Forks, North Dakota A method for photogrammetric data reduction without the necessity for neither fiducial marks nor initial approximations for inner and outer orientation parameters of the camera has been developed. This approach is particularly suitable for reduction of data from non-metric photography, but has also distinct advantages in its application to metric photography. Preliminary fictitious data tests indicate that the approach is promising. Experiments with real data are underway.
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Cited by
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A Robust O(n) Solution to the Perspective-n-Point Problem
Li, S., Xu, C., & Xie, M. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.41 · Cited by 503
Accurate Non-Iterative O(n) Solution to the PnP Problem
Moreno-Noguer, F., Lepetit, V., & Fua, P. (2007) · 2007 IEEE 11th International Conference on Computer Vision · doi:10.1109/iccv.2007.4409116 · Cited by 295
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Metadata
- Authors
- Abdel-Aziz, Y. I., & Karara, H. M.
- Venue
- Photogrammetric Engineering & Remote Sensing
- Published
- 2015-02-01
- Volume
- 81
- Issue
- 2
- Pages
- 103-107
- ISSN
- 0099-1112 (ISSN-L)
- OpenAlex
- W2017301540
- Cited by
- 1,779
- References
- 0
- FWCI
- 103.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: Direct Linear Transformation from Comparator Coordinates into Object Space Coordinates in Close-Range Photogrammetry. https://app.cochat.ai/papers/10.14358/pers.81.2.103
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- Abdel-Aziz, Y. I., & Karara, H. M. (2015). Direct Linear Transformation from Comparator Coordinates into Object Space Coordinates in Close-Range Photogrammetry. Photogrammetric Engineering & Remote Sensing. https://doi.org/10.14358/pers.81.2.103
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