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dc.contributor.authorMoldovan, Constantin
dc.date.accessioned2017-10-13T10:15:38Z
dc.date.available2017-10-13T10:15:38Z
dc.date.issued2012
dc.identifier.issn1224-5615
dc.identifier.urihttp://10.11.10.50/xmlui/handle/123456789/4490
dc.descriptionThe Annals of ''Dunarea de Jos'' University of Galati : Fascicle XIV : MECHANICAL ENGINEERING, ISSN 1224 - 5615ro_RO
dc.description.abstractRecognition algorithms based on local features such as: are widely used in a large number of computer vision applications object tracking, object reconstruction from images, detection and recognition of objects and people .In the last years, this research domain gains a lot of attention from the computer science research community. In this work, a study of feature description SIFT algorithm is presented along with a comparative analysis of the total running time and the best performance for future applications in industrial engineering.ro_RO
dc.language.isoenro_RO
dc.publisherUniversitatea "Dunărea de Jos" din Galațiro_RO
dc.subjectobject recognitionro_RO
dc.subjectlocal descriptors vibrationro_RO
dc.titleAnalysis of the Sift Feature Destriptors Alghorithm Implementation Used for Object Pieces Recognitionro_RO
dc.typeArticlero_RO


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