{"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\/cs\/blog\/news\/istyok-srok-dejstviya-patenta-na-algoritm-raspoznavaniya-obektov-sift","title":{"rendered":"Vypr\u0161ela platnost patentu na algoritmus rozpozn\u00e1v\u00e1n\u00ed objekt\u016f SIFT","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

8. b\u0159ezna vypr\u0161ela platnost patentu US6711293B1<\/a><\/noindex>, popisuj\u00edc\u00ed techniku SIFT<\/a><\/noindex> (Scale Invariant Feature Transform), ur\u010denou k detekci rys\u016f na obr\u00e1zc\u00edch. SIFT se pou\u017e\u00edv\u00e1 v oblastech, jako je rozpozn\u00e1v\u00e1n\u00ed objekt\u016f na obr\u00e1zku, p\u0159ekr\u00fdv\u00e1n\u00ed 3D model\u016f s re\u00e1ln\u00fdm obrazem v syst\u00e9mu roz\u0161\u00ed\u0159en\u00e9 reality, porovn\u00e1n\u00ed s mapou, ur\u010den\u00ed polohy v 3D prostoru a skl\u00e1d\u00e1n\u00ed panoramat. D\u0159\u00edve bylo pro pou\u017eit\u00ed SIFT v komer\u010dn\u00edch projektech nutn\u00e9 z\u00edskat licenci nebo povolen\u00ed, nyn\u00ed je dostupn\u00fd v\u0161em z\u00e1jemc\u016fm. <\/p>\n

Implementace SIFT je nab\u00edzena<\/a><\/noindex> v OpenCV, ale za\u0159azena do skupiny modul\u016f «non-free<\/a><\/noindex>\u201e , co\u017e vy\u017eaduje<\/a><\/noindex> samostatn\u00e9 zapnut\u00ed. Uplynut\u00ed doby platnosti patentu umo\u017en\u00ed p\u0159en\u00e9st SIFT do hlavn\u00edho j\u00e1dra OpenCV a tak\u00e9 ho neomezen\u011b pou\u017e\u00edvat pro rozpozn\u00e1v\u00e1n\u00ed obraz\u016f ve voln\u00fdch projektech.<\/p>\n

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

Zdroj: 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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\u043c\u0435\u0441\u0442\u043e\u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u0432 3D-\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0441\u0442\u0432\u0435 \u0438 \u0441\u0448\u0438\u0432\u043a\u0430 \u043f\u0430\u043d\u043e\u0440\u0430\u043c. \u0415\u0441\u043b\u0438 \u0440\u0430\u043d\u044c\u0448\u0435 \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f SIFT \u0432 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