Digital camera calibration methods: Considerations and comparisons
By Fabio Remondino, C. Fraser. 2006
640 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Environmental Engineering, Geology
View Paper: https://www.semanticscholar.org/paper/e6584ab83b86f8cd2ce654b448ce6a15c83962db
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
In Environmental Engineering
- Marco Dubbini
- Mario Gattelli
- Michaela De Giglio
- Sebastian Candiago
- Fabio Remondino
- Ismael Colomina
- Pere Molina
In Geology
- Marco Dubbini
- Mario Gattelli
- Michaela De Giglio
- Sebastian Candiago
- Fabio Remondino
- Ismael Colomina
- Pere Molina
Citations in the corpus
- Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images (2015, methodology): “Each dataset was processed using a photogrammetric pipeline based on camera calibration [36] and image orientation (bundle adjustment), dense point cloud extraction [37], and orthophoto production.”
- Heritage Recording and 3D Modeling with Photogrammetry and 3D Scanning (2011, background): “As far as terrestrial images is concerning, digital cameras must be accurately calibrated, preferably in a controlled lab environment, with a 3D testfield and a bundle adjustment solution with additional parameters to fully compensate for systematic errors [95].”