RT Journal Article
T1 Detection of Binary Square Fiducial Markers Using an Event Camera
A1 Sarmadi, Hamid
A1 Muñoz-Salinas, Rafael
A1 Olivares-Mendez, Miguel A.
A1 Medina-Carnicer, Rafael
K1 Event camera
K1 ArUco markers
K1 Square binary markers
K1 Silicon retina
K1 Computer vision
K1 Algorithms
K1 Cameras
K1 Image reconstruction
K1 Image edge detection
K1 Image segmentation
K1 Brightness
K1 Real-time systems
K1 Image sensors
K1 Marcadores fiduciales
K1 Inteligencia artificial
K1 Algoritmos
K1 Procesamiento de imagen asistido por computador
K1 Contaminación lumínica
K1 Sistemas de computación
AB Event cameras are a new type of image sensors that output changes in light intensity (events) instead of absolute intensity values. They have a very high temporal resolution and a high dynamic range. In this paper, we propose a method to detect and decode binary square markers using an event camera. We detect the edges of the markers by detecting line segments in an image created from events in the current packet. The line segments are combined to form marker candidates. The bit value of marker cells is decoded using the events on their borders. To the best of our knowledge, no other approach exists for detecting square binary markers directly from an event camera. Experimental results show that the performance of our proposal is much superior to the one from the RGB ArUco marker detector. Additionally, the proposed method can run on a single CPU thread in real-time.
PB Institute of Electrical and Electronics Engineers
YR 2021
FD 2021-02-10
LK http://hdl.handle.net/10668/4373
UL http://hdl.handle.net/10668/4373
LA spa
NO Sarmadi H, Muñoz-Salinas R, Olivares-Mendez MA, Medina-Carnicer R. Detection of Binary Square Fiducial Markers Using an Event Camera. IEEE Access. 2021; 9:27813-27826
DS RISalud
RD Apr 5, 2025