Interactive Environment for Testing SfM Image Capture Configurations

Ivan Nikolov, Claus Madsen

2019

Abstract

In recent years 3D reconstruction has become an important part of the manufacturing industry, product design, digital cultural heritage preservation, etc. Structure from Motion (SfM) is widely adopted, since it does not require specialized hardware and easily scales with the size of the scanned object. However, one of the drawbacks of SfM is the initial time and resource investment required for setting up a proper scanning environment and equipment, such as proper lighting and camera, number of images, the need of green screen, etc, as well as to determine if an object can be scanned successfully. This is why we propose a simple solution for approximating the whole capturing process. This way users can test fast and effortlessly different capturing setups. We introduce a visual indicator on how much of the scanned object is captured with each image in our environment, giving users a better idea of how many images would be needed. We compare the 3D reconstruction created from images from our solution, with ones created from rendered images using Autodesk Maya and V-Ray. We demonstrate that we provide comparable reconstruction accuracy at a fraction of the time.

Paper Citation

in Harvard Style

Nikolov I. and Madsen C. (2019). Interactive Environment for Testing SfM Image Capture Configurations. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP; ISBN 978-989-758-354-4, SciTePress, pages 317-322. DOI: 10.5220/0007566703170322

in Bibtex Style

@conference{grapp19,
author={Ivan Nikolov and Claus Madsen},
title={Interactive Environment for Testing SfM Image Capture Configurations},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP},
year={2019},
pages={317-322},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007566703170322},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP
TI - Interactive Environment for Testing SfM Image Capture Configurations
SN - 978-989-758-354-4
AU - Nikolov I.
AU - Madsen C.
PY - 2019
SP - 317
EP - 322
DO - 10.5220/0007566703170322
PB - SciTePress