Authenticity Determination System Based on Image Matching Using Local Features

Autor:	Satoshi Hirano, Ryota Fujimura, Tomio Goto
Rok vydání:	2019
Předmět:	Feature (computer vision) Image matching business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer vision Artificial intelligence business Image resolution Image (mathematics)
Zdroj:	GCCE
Popis:	In this paper, we propose a system to determine authenticity using image matching. This system uses feature point matching to detect objects. We compare the corresponding points between images using local features and image size to improve the detection accuracy. Consequently, the detection accuracy improved by magnifying the target images to the size of the template image when the KAZE feature was used.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e6b194a2ef62e21a2055c186cd298462 https://doi.org/10.1109/gcce46687.2019.9015586 Zobrazit plný text záznamu