{"id":73425,"date":"2020-03-09T14:42:11","date_gmt":"2020-03-09T11:42:11","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/istyok-srok-dejstviya-patenta-na-algoritm-raspoznavaniya-obektov-sift"},"modified":"2020-03-09T14:42:11","modified_gmt":"2020-03-09T11:42:11","slug":"istyok-srok-dejstviya-patenta-na-algoritm-raspoznavaniya-obektov-sift","status":"publish","type":"post","link":"https:\/\/prohoster.info\/en\/blog\/news\/istyok-srok-dejstviya-patenta-na-algoritm-raspoznavaniya-obektov-sift","title":{"rendered":"The patent for the SIFT object recognition algorithm has expired","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

The patent expired on March 8 US6711293B1<\/a><\/noindex>, describing the technique SIFT<\/a><\/noindex> (Scale Invariant Feature Transform), intended for feature detection in images. SIFT is applicable in fields such as object recognition in images, overlaying 3D models onto real images in augmented reality systems, map matching, determining location in 3D space, and stitching panoramas. Previously, using SIFT in commercial projects required obtaining a license or permission, but now it has become available to everyone. <\/p>\n

Implementation of SIFT it is recommended to<\/a><\/noindex> in OpenCV, but moved to the set of modules \u00abnon-free<\/a><\/noindex>\" \" module requiring<\/a><\/noindex> separate inclusion. The expiration of the patent will allow SIFT to be included in the main OpenCV set and be used without restrictions for image recognition in open projects.<\/p>\n

<\/a><\/noindex><\/p>\n

Source: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

8 \u043c\u0430\u0440\u0442\u0430 \u0438\u0441\u0442\u0451\u043a \u0441\u0440\u043e\u043a \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u043f\u0430\u0442\u0435\u043d\u0442\u0430 US6711293B1, \u043e\u043f\u0438\u0441\u044b\u0432\u0430\u044e\u0449\u0435\u0433\u043e \u0442\u0435\u0445\u043d\u0438\u043a\u0443 SIFT (Scale Invariant Feature Transform), \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u0443\u044e \u0434\u043b\u044f \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u0438\u044f \u043f\u0440\u0438\u0437\u043d\u0430\u043a\u043e\u0432 \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u0445. 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