Manual point cloud registration is often a crucial step during the mapping of 3D point clouds and usually performed on a conventional desktop setup with mouse interaction. Since 3D point clouds are inherently spatial, these 2D applications suffer from impaired depth perception and inconvenient interaction. Nonetheless, there are few efforts to improve the usability of these applications. To address this, we propose an alternative setup, consisting of a stereoscopic display and an external hand tracker, allowing for enhanced depth perception and natural interaction without the need for body-worn devices or handheld controllers. We developed interaction techniques for point cloud alignment in 3D space, including visual feedback during alignment, and implemented a proof-of-concept prototype in the context of a surgical use case. We describe the use case, design and implementation of our concepts and outline future work. Herewith we provide a user-centered alternative to desktop applications for manual point cloud registration.
%0 Conference Paper
%1 386b5737c9d2489c90a3830c47d86f69
%A Krug, Katja
%A Satkowski, Marc
%A Docea, Reuben
%A Ku, Tzu-Yu
%A Dachselt, Raimund
%B CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
%C United States of America
%D 2023
%I Association for Computing Machinery (ACM), New York
%K topic_visualcomputing FIS_scads alignment, cloud display, guidance image interaction, mid-air navigation point registration, stereoscopic systems
%P 230:1--230:7
%R 10.1145/3544549.3585862
%T Point Cloud Alignment through Mid-Air Gestures on a Stereoscopic Display
%X Manual point cloud registration is often a crucial step during the mapping of 3D point clouds and usually performed on a conventional desktop setup with mouse interaction. Since 3D point clouds are inherently spatial, these 2D applications suffer from impaired depth perception and inconvenient interaction. Nonetheless, there are few efforts to improve the usability of these applications. To address this, we propose an alternative setup, consisting of a stereoscopic display and an external hand tracker, allowing for enhanced depth perception and natural interaction without the need for body-worn devices or handheld controllers. We developed interaction techniques for point cloud alignment in 3D space, including visual feedback during alignment, and implemented a proof-of-concept prototype in the context of a surgical use case. We describe the use case, design and implementation of our concepts and outline future work. Herewith we provide a user-centered alternative to desktop applications for manual point cloud registration.
%@ 9781450394215
@inproceedings{386b5737c9d2489c90a3830c47d86f69,
abstract = {Manual point cloud registration is often a crucial step during the mapping of 3D point clouds and usually performed on a conventional desktop setup with mouse interaction. Since 3D point clouds are inherently spatial, these 2D applications suffer from impaired depth perception and inconvenient interaction. Nonetheless, there are few efforts to improve the usability of these applications. To address this, we propose an alternative setup, consisting of a stereoscopic display and an external hand tracker, allowing for enhanced depth perception and natural interaction without the need for body-worn devices or handheld controllers. We developed interaction techniques for point cloud alignment in 3D space, including visual feedback during alignment, and implemented a proof-of-concept prototype in the context of a surgical use case. We describe the use case, design and implementation of our concepts and outline future work. Herewith we provide a user-centered alternative to desktop applications for manual point cloud registration.},
added-at = {2024-11-28T16:27:18.000+0100},
address = {United States of America},
author = {Krug, Katja and Satkowski, Marc and Docea, Reuben and Ku, Tzu-Yu and Dachselt, Raimund},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2f24b22785a6f5b8e81eaabdf440323a1/scadsfct},
booktitle = {CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems},
day = 19,
doi = {10.1145/3544549.3585862},
interhash = {7c9fee713bf58acde17c4d4655df235a},
intrahash = {f24b22785a6f5b8e81eaabdf440323a1},
isbn = {9781450394215},
keywords = {topic_visualcomputing FIS_scads alignment, cloud display, guidance image interaction, mid-air navigation point registration, stereoscopic systems},
language = {English},
month = apr,
note = {Publisher Copyright: {\textcopyright} 2023 Owner/Author.},
pages = {230:1--230:7},
publisher = {Association for Computing Machinery (ACM), New York},
timestamp = {2024-11-28T17:41:38.000+0100},
title = {Point Cloud Alignment through Mid-Air Gestures on a Stereoscopic Display},
year = 2023
}