KFU. Card publication. Effects of rotation and systematic occlusion on fiducial marker recognition

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

EFFECTS OF ROTATION AND SYSTEMATIC OCCLUSION ON FIDUCIAL MARKER RECOGNITION

Form of presentation

Articles in international journals and collections

Year of publication

2017

Язык

английский

Authors, employees of KFU

Magid Evgeniy Arkadevich, author

Sagitov Artur Gazizovich, author

Shabalina Kseniya Sergeevna, author

Authors, postgraduates KFU

Sagitov Artur Gazizovich, postgraduate kfu

Bibliographic description in the original language

Sagitov A. Effects of rotation and systematic occlusion on fiducial marker recognition / Shabalina K., Li H., Magid E. // MATEC Web of Conferences. - 2017. - Vol. 113, №02006.

Annotation

Fiducial marker systems consist of patterns that are placed in environment for miscellaneous applications and are further automatically detected with cameras. A variety of applications determines the criteria, which characterize qualitative properties of a marker and include such evaluation benchmarks as resilience to occlusion, distance to a marker, false positive and false negative rates, sensitivity to illumination, and others. The paper compares existing ARTag, AprilTag, and CALTag systems utilizing a high fidelity camera, which is a main vision sensor of a full-size Russian humanoid robot AR-601M. In experiments the comparison of the three marker systems reliability and detection rate in occlusions of various types and intensities was verified. Finally, a preferable for AR-601M robot visual applications marker system was selected.

Keywords

Fiducial markers, ARTag, AprilTag, CALTag, experimental comparison, AR-601M

The name of the journal

MATEC Web of Conferences

URL

https://www.matec-conferences.org/articles/matecconf/pdf/2017/27/matecconf_er2017_02006.pdf

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=161700&p_lang=2

Resource files

File name	Size (MB)	Format
2017_The_memristive_artificial_neuron_high_level_architecture_for_biologically_inspired_robotic_systems__1_.pdf	0,35	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Magid Evgeniy Arkadevich	ru_RU
dc.contributor.author	Sagitov Artur Gazizovich	ru_RU
dc.contributor.author	Shabalina Kseniya Sergeevna	ru_RU
dc.contributor.author	Sagitov Artur Gazizovich	ru_RU
dc.date.accessioned	2017-01-01T00:00:00Z	ru_RU
dc.date.available	2017-01-01T00:00:00Z	ru_RU
dc.date.issued	2017	ru_RU
dc.identifier.citation	Sagitov A. Effects of rotation and systematic occlusion on fiducial marker recognition / Shabalina K., Li H., Magid E. // MATEC Web of Conferences. - 2017. - Vol. 113, №02006.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=161700&p_lang=2	ru_RU
dc.description.abstract	MATEC Web of Conferences	ru_RU
dc.description.abstract	Fiducial marker systems consist of patterns that are placed in environment for miscellaneous applications and are further automatically detected with cameras. A variety of applications determines the criteria, which characterize qualitative properties of a marker and include such evaluation benchmarks as resilience to occlusion, distance to a marker, false positive and false negative rates, sensitivity to illumination, and others. The paper compares existing ARTag, AprilTag, and CALTag systems utilizing a high fidelity camera, which is a main vision sensor of a full-size Russian humanoid robot AR-601M. In experiments the comparison of the three marker systems reliability and detection rate in occlusions of various types and intensities was verified. Finally, a preferable for AR-601M robot visual applications marker system was selected.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Fiducial markers	ru_RU
dc.subject	ARTag	ru_RU
dc.subject	AprilTag	ru_RU
dc.subject	CALTag	ru_RU
dc.subject	experimental comparison	ru_RU
dc.subject	AR-601M	ru_RU
dc.title	Effects of rotation and systematic occlusion on fiducial marker recognition	ru_RU
dc.type	Articles in international journals and collections	ru_RU