Details
| Original language | English |
|---|---|
| Title of host publication | Novel Optical Systems, Methods, and Applications XXVI |
| Editors | Cornelius F. Hahlweg, Joseph R. Mulley |
| Publisher | SPIE |
| ISBN (electronic) | 9781510665446 |
| Publication status | Published - 2 Oct 2023 |
| Event | Novel Optical Systems, Methods, and Applications XXVI 2023 - San Diego, United States Duration: 22 Aug 2023 → 23 Aug 2023 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 12665 |
| ISSN (Print) | 0277-786X |
| ISSN (electronic) | 1996-756X |
Abstract
The precise overlay in see-through AR applications and the development of methods to calculate the registration error for such applications using an AR head-mounted display (HMD) present significant challenges. This difficulty arises primarily due to the absence of ground truth data (GTD) as the scene is partially hidden by view restrictions. Traditional approaches may require expensive setups, like cameras or laser scanners, to capture the hidden area and generate GTD. We propose an approach to calculate the registration error by using a marker-based pose estimation method. We use synthetic data to show the suitability of our method. The synthetic data is created in Unity, where we replicated a see-through application. Therefore, we employ image augmentation technologies for simulating a real see-through forklift application. The utilization of the simulation environment enables the generation of GT). This data forms the basis for evaluating the accuracy of our proposed method. Our primary contributions include a simulated see-through AR application in Unity, a labeled, application-specific synthetic dataset, and a validated method for determining the 3D registration error in world units (mm). This work demonstrates the suitability of the development of a marker-based registration error method to determine a 3D registration error in AR HMD see-through applications, providing an alternative to traditional, more costly approaches.
Keywords
- Accuracy, Augmented Reality, Immersive, Logistics, Registration Error, RGB-D camera, Simulation, Synthetic data
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
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- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Novel Optical Systems, Methods, and Applications XXVI. ed. / Cornelius F. Hahlweg; Joseph R. Mulley. SPIE, 2023. 126650F (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12665).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Marker-based registration error estimation in see-through AR applications
AU - Jütte, Lukas
AU - Poschke, Alexander
AU - Overmeyer, Ludger
N1 - Funding Information: This work is part of the research project 20158 N of the Research Foundation Intralogistics / Material Handling and Logistics (IFL) and has been funded by the AiF (Arbeitsgemeinschaft industrieller Forschungsvereinigungen „Otto von Gue-ricke“ e.V.) within the program for sponsorship by Industrial Joint Research (IGF) of the German Federal Ministry of Economic Affairs and Climate Action based on an enactment of the German Parliament.
PY - 2023/10/2
Y1 - 2023/10/2
N2 - The precise overlay in see-through AR applications and the development of methods to calculate the registration error for such applications using an AR head-mounted display (HMD) present significant challenges. This difficulty arises primarily due to the absence of ground truth data (GTD) as the scene is partially hidden by view restrictions. Traditional approaches may require expensive setups, like cameras or laser scanners, to capture the hidden area and generate GTD. We propose an approach to calculate the registration error by using a marker-based pose estimation method. We use synthetic data to show the suitability of our method. The synthetic data is created in Unity, where we replicated a see-through application. Therefore, we employ image augmentation technologies for simulating a real see-through forklift application. The utilization of the simulation environment enables the generation of GT). This data forms the basis for evaluating the accuracy of our proposed method. Our primary contributions include a simulated see-through AR application in Unity, a labeled, application-specific synthetic dataset, and a validated method for determining the 3D registration error in world units (mm). This work demonstrates the suitability of the development of a marker-based registration error method to determine a 3D registration error in AR HMD see-through applications, providing an alternative to traditional, more costly approaches.
AB - The precise overlay in see-through AR applications and the development of methods to calculate the registration error for such applications using an AR head-mounted display (HMD) present significant challenges. This difficulty arises primarily due to the absence of ground truth data (GTD) as the scene is partially hidden by view restrictions. Traditional approaches may require expensive setups, like cameras or laser scanners, to capture the hidden area and generate GTD. We propose an approach to calculate the registration error by using a marker-based pose estimation method. We use synthetic data to show the suitability of our method. The synthetic data is created in Unity, where we replicated a see-through application. Therefore, we employ image augmentation technologies for simulating a real see-through forklift application. The utilization of the simulation environment enables the generation of GT). This data forms the basis for evaluating the accuracy of our proposed method. Our primary contributions include a simulated see-through AR application in Unity, a labeled, application-specific synthetic dataset, and a validated method for determining the 3D registration error in world units (mm). This work demonstrates the suitability of the development of a marker-based registration error method to determine a 3D registration error in AR HMD see-through applications, providing an alternative to traditional, more costly approaches.
KW - Accuracy
KW - Augmented Reality
KW - Immersive
KW - Logistics
KW - Registration Error
KW - RGB-D camera
KW - Simulation
KW - Synthetic data
UR - http://www.scopus.com/inward/record.url?scp=85176242958&partnerID=8YFLogxK
U2 - 10.1117/12.2676355
DO - 10.1117/12.2676355
M3 - Conference contribution
AN - SCOPUS:85176242958
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Novel Optical Systems, Methods, and Applications XXVI
A2 - Hahlweg, Cornelius F.
A2 - Mulley, Joseph R.
PB - SPIE
T2 - Novel Optical Systems, Methods, and Applications XXVI 2023
Y2 - 22 August 2023 through 23 August 2023
ER -