Version 1
: Received: 21 July 2023 / Approved: 24 July 2023 / Online: 25 July 2023 (03:05:48 CEST)
How to cite:
Koutlemanis, P.; Zabulis, X.; Stivaktakis, N. M.; Partarakis, N.; Zidianakis, E.; Demeridou, I. A Close-Range Photogrammetric Surface Scanner and its Evaluation. Preprints2023, 2023071609. https://doi.org/10.20944/preprints202307.1609.v1
Koutlemanis, P.; Zabulis, X.; Stivaktakis, N. M.; Partarakis, N.; Zidianakis, E.; Demeridou, I. A Close-Range Photogrammetric Surface Scanner and its Evaluation. Preprints 2023, 2023071609. https://doi.org/10.20944/preprints202307.1609.v1
Koutlemanis, P.; Zabulis, X.; Stivaktakis, N. M.; Partarakis, N.; Zidianakis, E.; Demeridou, I. A Close-Range Photogrammetric Surface Scanner and its Evaluation. Preprints2023, 2023071609. https://doi.org/10.20944/preprints202307.1609.v1
APA Style
Koutlemanis, P., Zabulis, X., Stivaktakis, N. M., Partarakis, N., Zidianakis, E., & Demeridou, I. (2023). A Close-Range Photogrammetric Surface Scanner and its Evaluation. Preprints. https://doi.org/10.20944/preprints202307.1609.v1
Chicago/Turabian Style
Koutlemanis, P., Emmanouil Zidianakis and Ioanna Demeridou. 2023 "A Close-Range Photogrammetric Surface Scanner and its Evaluation" Preprints. https://doi.org/10.20944/preprints202307.1609.v1
Abstract
A close-range photogrammetric approach and its implementation using a CNC device and a macro camera are proposed. A tailored image acquisition approach is proposed that is implemented using this device. To increase reconstruction robustness and accuracy, the key point features detected in the acquired images are tracked across multiple views from multiple viewpoints at multiple distances. This approach reduces spurious correspondences and, as a result, the estimation accuracy of calibration parameters is increased and reconstruction errors are reduced. Qualitative and quantitative evaluation demonstrate the efficacy and accuracy of the proposed approach, which exhibits micrometre resolution and low implementation cost.
Computer Science and Mathematics, Computer Vision and Graphics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.