{"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\/de\/blog\/novosti-interneta\/istyok-srok-dejstviya-patenta-na-algoritm-raspoznavaniya-obektov-sift","title":{"rendered":"Das Patent f\u00fcr den SIFT-Algorithmus zur Objekterkennung ist abgelaufen.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Am 8. M\u00e4rz ist das Patent abgelaufen. US6711293B1<\/a><\/noindex>, das die Technik beschreibt, SIFT<\/a><\/noindex> (Scale Invariant Feature Transform), die zur Erkennung von Merkmalen in Bildern dient. SIFT findet Anwendung in Bereichen wie der Objekterkennung in Bildern, dem \u00dcberlagern von 3D-Modellen auf reale Bilder in Augmented-Reality-Systemen, der Kartierung, der 3D-Lokalisierung und der Erstellung von Panoramen. W\u00e4hrend zur Nutzung von SIFT in kommerziellen Projekten zuvor eine Lizenz oder Genehmigung erforderlich war, ist es nun f\u00fcr jedermann zug\u00e4nglich. <\/p>\n

Die Implementierung von SIFT zum Bing-Suchdienst zu wechseln).<\/a><\/noindex> in OpenCV, jedoch zu dem Modulset «non-free<\/a><\/noindex>« enthalten,<\/a><\/noindex> was eine separate Aktivierung erforderlich macht. Das Ablaufen des Patents erm\u00f6glicht es, SIFT in die Hauptbibliothek von OpenCV zu integrieren und uneingeschr\u00e4nkt f\u00fcr die Bildverarbeitung in Open-Source-Projekten zu verwenden.<\/p>\n

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

Quelle: 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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