Image structural classification technologies based on statistical analysis of descriptions in the form of bit descriptor set.

Публікація:
Image structural classification technologies based on statistical analysis of descriptions in the form of bit descriptor set.

dc.contributor.author	Gorokhovatskyi, V.
dc.contributor.author	Gadetska, S.
dc.contributor.author	Stiahlyk, N.
dc.date.accessioned	2020-05-21T19:12:35Z
dc.date.available	2020-05-21T19:12:35Z
dc.date.issued	2020
dc.description.abstract	The problem of image recognition in computer vision systems is considered. We offer technologies for classifying visual objects using a statistical center based on a structural description of the image as a set of key point descriptors. The use of statistics for the bits of the description data helps to increase performance while providing sufficient classification performance. Results of experimental modeling and peculiarities of implementation of the developed approaches are discussed.	uk_UA
dc.identifier.citation	Gorokhovatskyi V., Gadetska S., Stiahlyk N. (2020) Image structural classification technologies based on statistical analysis of descriptions in the form of bit descriptor set. In CEUR Workshop Proceedings: Computer Modeling and Intelligent Systems (CMIS-2020). 2608. pp. 1027-1039. Available online: http://ceur-ws.org/Vol-2608/	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/11782
dc.language.iso	en	uk_UA
dc.subject	computer vision	uk_UA
dc.subject	детектор BRISK	uk_UA
dc.title	Image structural classification technologies based on statistical analysis of descriptions in the form of bit descriptor set.	uk_UA
dc.type	Conference proceedings	uk_UA
dspace.entity.type	Publication