TY - GEN
T1 - Specifying Volumes of Interest for Industrial Use Cases
AU - Dyrda, Daniel
AU - Klusmann, Jack
AU - Rudolph, Linda
AU - Stieglbauer, Felix
AU - Amougou, Maximilian
AU - Pantforder, Dorothea
AU - Vogel-Heuser, Birgit
AU - Klinker, Gudrun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Creating digital representations of industrial facilities presents substantial opportunities for the industry. The development of digital twins opens up many prospective applications for industrial plants, such as facilitating virtual training environments, streamlining change management, and providing real-time understanding of remote scenes. However, creating and maintaining these digital twins involves complex tasks, including scanning industrial plants and annotating their subsystems. Many use cases necessitate specifying a Volume of Interest (VoI) for further processing while presenting severe environmental challenges for segmentation quality and worker safety. Besides that, widespread adoption also depends on creating methods that are easy to use, even for workers with limited 3D interaction knowledge. Currently, no commonly implemented method fulfills all these diverse requirements. This paper introduces an approach for specifying a VoI in industrial scenarios. Our approach defines a volume by intersecting the projection of hand-drawn surroundings on a small number of pictures of the target volume, utilizing Augmented Reality and Voxel Carving. It can successfully handle various sizes of target volumes and delivers an appropriately detailed result. Applying qualitative discussions and a quantitative evaluation, we ensure our application meets all requirements posed by the scenarios. This simple interaction metaphor, tailored to specific use cases, can serve as a versatile pattern for various digital twin scenarios. It offers a valuable alternative to 3D primitive-based segmentation methods.
AB - Creating digital representations of industrial facilities presents substantial opportunities for the industry. The development of digital twins opens up many prospective applications for industrial plants, such as facilitating virtual training environments, streamlining change management, and providing real-time understanding of remote scenes. However, creating and maintaining these digital twins involves complex tasks, including scanning industrial plants and annotating their subsystems. Many use cases necessitate specifying a Volume of Interest (VoI) for further processing while presenting severe environmental challenges for segmentation quality and worker safety. Besides that, widespread adoption also depends on creating methods that are easy to use, even for workers with limited 3D interaction knowledge. Currently, no commonly implemented method fulfills all these diverse requirements. This paper introduces an approach for specifying a VoI in industrial scenarios. Our approach defines a volume by intersecting the projection of hand-drawn surroundings on a small number of pictures of the target volume, utilizing Augmented Reality and Voxel Carving. It can successfully handle various sizes of target volumes and delivers an appropriately detailed result. Applying qualitative discussions and a quantitative evaluation, we ensure our application meets all requirements posed by the scenarios. This simple interaction metaphor, tailored to specific use cases, can serve as a versatile pattern for various digital twin scenarios. It offers a valuable alternative to 3D primitive-based segmentation methods.
KW - Mixed / augmented reality
KW - Scenario-based design
KW - Touch screens
UR - http://www.scopus.com/inward/record.url?scp=85180364786&partnerID=8YFLogxK
U2 - 10.1109/ISMAR59233.2023.00092
DO - 10.1109/ISMAR59233.2023.00092
M3 - Conference contribution
AN - SCOPUS:85180364786
T3 - Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2023
SP - 771
EP - 779
BT - Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2023
A2 - Bruder, Gerd
A2 - Olivier, Anne-Helene
A2 - Cunningham, Andrew
A2 - Peng, Evan Yifan
A2 - Grubert, Jens
A2 - Williams, Ian
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2023
Y2 - 16 October 2023 through 20 October 2023
ER -