Публікація:
Hashing of Structural Descriptions at Building of the Class Image Descriptor, Computing of Relevance and Classification of the Visual Objects

dc.contributor.authorGorokhovatskiy, V. A.
dc.contributor.authorGorokhovatskiy, А. V.
dc.contributor.authorPeredrii, Ye. О.
dc.date.accessioned2022-05-20T21:07:38Z
dc.date.available2022-05-20T21:07:38Z
dc.date.issued2018
dc.description.abstractThe problem of classification of visual objects on the space of the descriptor features of the image key points is solved with application of data hashing to the image description. The efficiency of application of options of the hashing functions is analyzed at building of the class descriptor as a generalized image of the etalon and at determining the level of relevance for the binary descriptions. Experimental estimation of the time for computing the hash-functionsand determining the relevance for the hashed images as compared to the traditional voting approach is performed by means of the program simulation. The efficiency of application of hash-processing of data is confirmed in terms of a substantial increase of the performance parameter.uk_UA
dc.identifier.citationGorokhovatskiy V. A. Hashing of Structural Descriptions at Building of the Class Image Descriptor, Computing of Relevance and Classification of the Visual Objects / V. A. Gorokhovatskiy, А. V. Gorokhovatskiy, Ye. О. Peredrii // Telecommunications and Radio Engineering. – 2018, Vol. 77 (13), pp. 1159–1168.uk_UA
dc.identifier.urihttps://openarchive.nure.ua/handle/document/20357
dc.language.isoen_USuk_UA
dc.subjectcomputer visionuk_UA
dc.subjectstructural image recognitionuk_UA
dc.subjectkey point descriptorsuk_UA
dc.subjecthashinguk_UA
dc.titleHashing of Structural Descriptions at Building of the Class Image Descriptor, Computing of Relevance and Classification of the Visual Objectsuk_UA
dc.typeArticleuk_UA
dspace.entity.typePublication

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