Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Novel Optical Systems, Methods, and Applications XXVI |
| Herausgeber/-innen | Cornelius F. Hahlweg, Joseph R. Mulley |
| Herausgeber (Verlag) | SPIE |
| ISBN (elektronisch) | 9781510665446 |
| Publikationsstatus | Veröffentlicht - 2 Okt. 2023 |
| Veranstaltung | Novel Optical Systems, Methods, and Applications XXVI 2023 - San Diego, USA / Vereinigte Staaten Dauer: 22 Aug. 2023 → 23 Aug. 2023 |
Publikationsreihe
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Band | 12665 |
| ISSN (Print) | 0277-786X |
| ISSN (elektronisch) | 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.
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Elektronische, optische und magnetische Materialien
- Physik und Astronomie (insg.)
- Physik der kondensierten Materie
- Informatik (insg.)
- Angewandte Informatik
- Mathematik (insg.)
- Angewandte Mathematik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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- BibTex
- RIS
Novel Optical Systems, Methods, and Applications XXVI. Hrsg. / Cornelius F. Hahlweg; Joseph R. Mulley. SPIE, 2023. 126650F (Proceedings of SPIE - The International Society for Optical Engineering; Band 12665).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › 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 -