Assessment of Submillimeter Precision via Structure from Motion Technique in Close-Range Capture Environments

Francisco Roza de Moraes, Irineu da Silva
9/23/2024
cs.CV

No confident code implementation found for this paper.

Abstract

Creating 3D models through the Structure from Motion technique is a recognized, efficient, cost-effective structural monitoring strategy. This technique is applied in several engineering fields, particularly for creating models of large structures from photographs taken a few tens of meters away. However, discussions about its usability and the procedures for conducting laboratory analysis, such as structural tests, are rarely addressed. This study investigates the potential of the SfM method to create submillimeter-quality models for structural tests, with short-distance captures. A series of experiments was carried out, with photographic captures at a 1-meter distance, using different quality settings: camera calibration model, Scale Bars dispersion, overlapping rates, and the use of vertical and oblique images. Employing a calibration model with images taken over a test board and a set of Scale Bars (SB) appropriately distributed over the test area, an overlap rate of 80 percent, and the integration of vertical and oblique images, RMSE values of approximately 0.1 mm were obtained. This result indicates the potential application of the technique for 3D modeling with submillimeter positional quality, as required for structural tests in laboratory environments.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Cite this paper

@article{moraes2024assessment,
  title  = {Assessment of Submillimeter Precision via Structure from Motion Technique in Close-Range Capture Environments},
  author = {Francisco Roza de Moraes and Irineu da Silva},
  year   = {2024},
  eprint = {2409.15602},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2409.15602v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2409.15602.svg)](https://codeofpaper.com/paper/2409.15602)

Discussion