{"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\/it\/blog\/novosti-interneta\/istyok-srok-dejstviya-patenta-na-algoritm-raspoznavaniya-obektov-sift","title":{"rendered":"\u00c8 scaduto il brevetto per l'algoritmo di riconoscimento degli oggetti SIFT","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

La scadenza del brevetto \u00e8 avvenuta l'8 marzo US6711293B1<\/a><\/noindex>, che descrive la tecnica SIFT<\/a><\/noindex> (Scale Invariant Feature Transform), progettata per identificare caratteristiche nelle immagini. SIFT \u00e8 applicabile in settori come il riconoscimento degli oggetti nelle immagini, sovrapposizione di modelli 3D su immagini reali in sistemi di realt\u00e0 aumentata, corrispondenza con mappe, determinazione della posizione nello spazio 3D e stitching di panoramiche. Se in precedenza era necessario ottenere una licenza o un permesso per utilizzare SIFT in progetti commerciali, ora \u00e8 disponibile per chiunque. <\/p>\n

Implementazione di SIFT si propone<\/a><\/noindex> in OpenCV, ma assegnata al set di moduli «non-free<\/a><\/noindex>«, che richiede<\/a><\/noindex> un'inclusione separata. La fine del periodo di validit\u00e0 del brevetto permetter\u00e0 di trasferire SIFT nel nucleo di OpenCV e utilizzarlo senza vincoli per il riconoscimento delle immagini in progetti open-source.<\/p>\n

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

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

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