Sparse Spatial Shading in Augmented Reality
Olajos, Rikard LU and Doggett, Michael LU
(2024)
19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
1.
p.293-299
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/fd2ab29f-526f-4d65-9e11-529888056568
- author
- Olajos, Rikard
LU
and Doggett, Michael
LU
- organization
- publishing date
- 2024
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, HUCAPP and IVAPP
- volume
- 1
- pages
- 7 pages
- publisher
- SciTePress
- conference name
- 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
- conference location
- Rome, Italy
- conference dates
- 2024-02-27 - 2024-02-29
- ISBN
- 978-989-758-679-8
- DOI
- 10.5220/0012429300003660
- language
- English
- LU publication?
- yes
- id
- fd2ab29f-526f-4d65-9e11-529888056568
- date added to LUP
- 2024-03-05 14:00:07
- date last changed
- 2024-03-06 13:05:46
@inproceedings{fd2ab29f-526f-4d65-9e11-529888056568,
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.}},
author = {{Olajos, Rikard and Doggett, Michael}},
booktitle = {{Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, HUCAPP and IVAPP}},
isbn = {{978-989-758-679-8}},
language = {{eng}},
pages = {{293--299}},
publisher = {{SciTePress}},
title = {{Sparse Spatial Shading in Augmented Reality}},
url = {{http://dx.doi.org/10.5220/0012429300003660}},
doi = {{10.5220/0012429300003660}},
volume = {{1}},
year = {{2024}},
}