Projects per year
Abstract
Capturing details of objects and surfaces using structure from motion (SfM) 3D reconstruction has become an important part of data gathering in geomapping, medicine, cultural heritage, and the energy and production industries. One inherent problem with SfM, due to its reliance on 2D images, is the ambiguity of the reconstruction's scale. Absolute scale can be calculated by using the data from additional sensors. This chapter demonstrates how distance sensors can be used to calculate the scale of a reconstructed object. In addition, the authors demonstrate that the uncertainty of the calculated scale can be computed and how it depends on the precision of the used sensors. The provided methods are straightforward and easy to integrate into the workflow of commercial SfM solutions.
Original language | English |
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Title of host publication | Recent Advances in 3D Imaging, Modeling and Reconstruction |
Number of pages | 25 |
Publisher | IGI global |
Publication date | 2020 |
Pages | 168-192 |
ISBN (Print) | 9781522552949 |
ISBN (Electronic) | 1522552944 |
DOIs | |
Publication status | Published - 2020 |
Keywords
- SfM
- Scaling
- LiDAR
- Uncertainty propagation
- 3D reconstruction
Fingerprint
Dive into the research topics of 'Calculating Absolute Scale and Scale Uncertainty for SfM Using Distance Sensor Measurements: A Lightweight and Flexible Approach'. Together they form a unique fingerprint.Projects
- 1 Finished
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Leading Edge Roughness - Wind Turbine Blades
Madsen, C. B. (PI), Nikolov, I. A. (PI) & Ladefoged, K. S. (PI)
01/10/2015 → 01/05/2019
Project: Research
Research output
- 1 PhD thesis
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Applied SfM - Capturing and Analysing 3D Surface Data
Nikolov, I. A., 2021, Aalborg Universitetsforlag. 292 p.Research output: PhD thesis
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