AI Article Synopsis
- The study evaluates smartphone camera technology for 3D measurement in close-range photogrammetry by testing various smartphones for distortion levels and accuracy.
- Analytical methods, digital tools, and OpenCV functions are used to analyze captured images and assess the impact of lens distortions.
- The research concludes with a comparison of results and insights into the effectiveness of smartphones for practical photogrammetry applications.
Article Abstract
The evaluation of smartphone camera technology for close-range photogrammetry includes assessing captured photos for 3D measurement. In this work, experiments are conducted on many smartphones to study distortion levels and accuracy performance in close-range photogrammetry applications. Analytical methods and specialized digital tools are employed to evaluate the results. OpenCV functions estimate the distortions introduced by the lens. Diagrams, evaluation images, statistical quantities, and indicators are utilized to compare the results among sensors. The accuracy achieved in photogrammetry is examined using the photogrammetric bundle adjustment in a real-world application. In the end, generalized conclusions are drawn regarding this technology's use in close-range photogrammetry applications.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11598270 | PMC |
| http://dx.doi.org/10.3390/s24227311 | DOI Listing |
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