The alignment of virtual to physical surfaces is essential to improve symbolic input and selection in XR. Previous techniques optimized for efficiency can lead to inaccuracies. We investigate regression-based refinement techniques and introduce a surface accuracy eval-uation. The results revealed that refinement techniques can highly improve surface accuracy and show that accuracy depends on the gesture shape and surface dimension. Our reference implementation and dataset are publicly available.
%0 Conference Paper
%1 10108564
%A Kern, Florian
%A Tschanter, Jonathan
%A Latoschik, Marc Erich
%B 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
%D 2023
%K myown vilearn
%P 502-506
%R 10.1109/VRW58643.2023.00109
%T Virtual-to-Physical Surface Alignment and Refinement Techniques for Handwriting, Sketching, and Selection in XR
%U https://ieeexplore.ieee.org/document/10108564/
%X The alignment of virtual to physical surfaces is essential to improve symbolic input and selection in XR. Previous techniques optimized for efficiency can lead to inaccuracies. We investigate regression-based refinement techniques and introduce a surface accuracy eval-uation. The results revealed that refinement techniques can highly improve surface accuracy and show that accuracy depends on the gesture shape and surface dimension. Our reference implementation and dataset are publicly available.
@inproceedings{10108564,
abstract = {The alignment of virtual to physical surfaces is essential to improve symbolic input and selection in XR. Previous techniques optimized for efficiency can lead to inaccuracies. We investigate regression-based refinement techniques and introduce a surface accuracy eval-uation. The results revealed that refinement techniques can highly improve surface accuracy and show that accuracy depends on the gesture shape and surface dimension. Our reference implementation and dataset are publicly available.},
added-at = {2023-05-05T16:19:53.000+0200},
author = {Kern, Florian and Tschanter, Jonathan and Latoschik, Marc Erich},
biburl = {https://www.bibsonomy.org/bibtex/2679c37675eafc3e9bd735b2dcdccf9cf/hci-uwb},
booktitle = {2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)},
doi = {10.1109/VRW58643.2023.00109},
interhash = {9d79ab48ad6f8b7e829566f4a644d05f},
intrahash = {679c37675eafc3e9bd735b2dcdccf9cf},
keywords = {myown vilearn},
month = {March},
pages = {502-506},
timestamp = {2024-05-06T17:22:37.000+0200},
title = {Virtual-to-Physical Surface Alignment and Refinement Techniques for Handwriting, Sketching, and Selection in XR},
url = {https://ieeexplore.ieee.org/document/10108564/},
year = 2023
}