Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics |
| Untertitel | Volume 2: ICINCO |
| Herausgeber/-innen | Oleg Gusikhin, Kurosh Madani, Janan Zaytoon |
| Seiten | 190-197 |
| Seitenumfang | 8 |
| ISBN (elektronisch) | 9789897583803 |
| Publikationsstatus | Veröffentlicht - 2019 |
| Veranstaltung | 16th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2019 - Prague, Tschechische Republik Dauer: 29 Juli 2019 → 31 Juli 2019 |
Abstract
We introduce an augmented reality marker based on ArUco markers (Garrido-Jurado et al., 2014) that can be detected in RGB- and IR-images by using retroreflective material. Due to active perception by IR-capable camera systems the negative impact of external disturbances like change of light conditions on the marker detection is minimized. By the parallel processing architecture of RGB- and IR-images redundancy stabilizes the detection. As different retroreflective materials influence the image quality depending on the camera system, we also examined different retroreflective materials and compared the performance of the Kinect V2 and the Intel RealSense D435 regarding the detection probability depending on the geometrical distance of the augmented reality marker to the camera.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Information systems
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics: Volume 2: ICINCO. Hrsg. / Oleg Gusikhin; Kurosh Madani; Janan Zaytoon. 2019. S. 190-197.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - An Approach to Marker Detection in IR- and RGB-images for an Augmented Reality Marker
AU - Ehambram, Aaronkumar
AU - Hemme, Patrick
AU - Wagner, Bernardo
PY - 2019
Y1 - 2019
N2 - We introduce an augmented reality marker based on ArUco markers (Garrido-Jurado et al., 2014) that can be detected in RGB- and IR-images by using retroreflective material. Due to active perception by IR-capable camera systems the negative impact of external disturbances like change of light conditions on the marker detection is minimized. By the parallel processing architecture of RGB- and IR-images redundancy stabilizes the detection. As different retroreflective materials influence the image quality depending on the camera system, we also examined different retroreflective materials and compared the performance of the Kinect V2 and the Intel RealSense D435 regarding the detection probability depending on the geometrical distance of the augmented reality marker to the camera.
AB - We introduce an augmented reality marker based on ArUco markers (Garrido-Jurado et al., 2014) that can be detected in RGB- and IR-images by using retroreflective material. Due to active perception by IR-capable camera systems the negative impact of external disturbances like change of light conditions on the marker detection is minimized. By the parallel processing architecture of RGB- and IR-images redundancy stabilizes the detection. As different retroreflective materials influence the image quality depending on the camera system, we also examined different retroreflective materials and compared the performance of the Kinect V2 and the Intel RealSense D435 regarding the detection probability depending on the geometrical distance of the augmented reality marker to the camera.
KW - Augmented Reality
KW - Computer Vision
KW - Intel RealSense
KW - Kinect
KW - Pose Estimation
KW - Retroreflective Markers
KW - Sensor Fusion
UR - http://www.scopus.com/inward/record.url?scp=85073036036&partnerID=8YFLogxK
U2 - 10.5220/0007810301900197
DO - 10.5220/0007810301900197
M3 - Conference contribution
SN - 978-989-758-380-3
SP - 190
EP - 197
BT - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics
A2 - Gusikhin, Oleg
A2 - Madani, Kurosh
A2 - Zaytoon, Janan
T2 - 16th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2019
Y2 - 29 July 2019 through 31 July 2019
ER -