Automatic alignment and completion of point cloud environments using XR data
Abstract
Large datasets captured through TLS or photogrammetry are often incomplete or out of date. One way to combat these shortcomings is updating these datasets whit faster, less precise data from XR devices. This framework allows for a smart combination of multi-sensory datasets.
Results
Bibtex
@inproceedings{10.1145/3532719.3543258,
author = {Vermandere, Jelle and Bassier, Maarten and Vergauwen, Maarten},
title = {Automatic alignment and completion of point cloud environments using XR data},
year = {2022},
isbn = {9781450393614},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3532719.3543258},
doi = {10.1145/3532719.3543258},
booktitle = {ACM SIGGRAPH 2022 Posters},
articleno = {46},
numpages = {2},
location = {Vancouver, BC, Canada},
series = {SIGGRAPH '22}
}