Geo-Referenced Occlusion Models for Mixed Reality Applications using the Microsoft HoloLens

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

Original language	English
Title of host publication	Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Pages	113-122
Number of pages	10
DOIs	https://doi.org/10.5220/0010775200003124
Publication status	Published - 7 Feb 2022

Access to Document

@inproceedings{dfb3c295c389421a98a1b4d268a78b52,

title = "Geo-Referenced Occlusion Models for Mixed Reality Applications using the Microsoft HoloLens",

author = "Christoph Praschl and Oliver Krauss",

year = "2022",

month = feb,

day = "7",

doi = "10.5220/0010775200003124",

language = "English",

pages = "113--122",

booktitle = "Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",

}

Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 2022. p. 113-122.

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

TY - GEN

T1 - Geo-Referenced Occlusion Models for Mixed Reality Applications using the Microsoft HoloLens

AU - Praschl, Christoph

AU - Krauss, Oliver

PY - 2022/2/7

Y1 - 2022/2/7

UR - http://dx.doi.org/10.5220/0010775200003124

U2 - 10.5220/0010775200003124

DO - 10.5220/0010775200003124

M3 - Conference contribution

SP - 113

EP - 122

BT - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

ER -