Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Close-Range Photogrammetric Surface Scanner and its Evaluation

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. 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. Preprints 2023, 2023071609. 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.

Keywords

surface scanner; photogrammetry; close-range photogrammetry; feature tracks

Subject

Computer Science and Mathematics, Computer Vision and Graphics

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