An Error Estimation System for Close-Range Photogrammetric Systems and Algorithms †
Anton Poroykov, Olga Pechinskaya, Ekaterina Shmatko, Danil Eremin, Nikita Sivov · 2023
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Description
Anton Poroykov and four colleagues published a 2023 paper on measuring error in close-range photogrammetry. This method builds 3D shapes from flat photos, giving touch-free measures of a surface. It is used in fields from engineering to medicine.
Because the method chains many steps, its true error is hard to pin down. Math estimates and computer models miss real-world factors like lighting and lens flaws. The team built a system that gauges error from real test setups instead. A known test object lets them compare measured shape with truth. Direct checks give users a firmer sense of how much to trust each measure.
Catalog record
| CREATOR | Anton Poroykov, Olga Pechinskaya, Ekaterina Shmatko, Danil Eremin, Nikita Sivov |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |