Sparse Spatial Shading in Augmented Reality

Rikard Olajos, Michael Doggett

2024

Abstract

In this work, we present a method for acquiring, storing, and using scene data to enable realistic shading of virtual objects in an augmented reality application. Our method allows for sparse sampling of the environment’s lighting condition while still delivering a convincing shading to the rendered objects. We use common camera parameters, provided by a head-mounted camera, to get lighting information from the scene and store them in a tree structure, saving both locality and directionality of the data. This makes our approach suitable for implementation in augmented reality applications where the sparse and unpredictable nature of the data samples captured from a head-mounted device can be problematic. The construction of the data structure and the shading of virtual objects happen in real time, and without requiring high-performance hardware. Our model is designed for augmented reality devices with optical see-through displays, and in this work we used Microsoft’s HoloLens 2.

Paper Citation

in Harvard Style

Olajos R. and Doggett M. (2024). Sparse Spatial Shading in Augmented Reality. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP; ISBN 978-989-758-679-8, SciTePress, pages 293-299. DOI: 10.5220/0012429300003660

in Bibtex Style

@conference{grapp24,
author={Rikard Olajos and Michael Doggett},
title={Sparse Spatial Shading in Augmented Reality},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP},
year={2024},
pages={293-299},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012429300003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP
TI - Sparse Spatial Shading in Augmented Reality
SN - 978-989-758-679-8
AU - Olajos R.
AU - Doggett M.
PY - 2024
SP - 293
EP - 299
DO - 10.5220/0012429300003660
PB - SciTePress