The Harris corner detector is a corner detection operator that is commonly used in computer vision algorithms to extract corners and infer features of an image. It was first introduced by Chris Harris and Mike Stephens in 1988 upon the improvement of Moravec's corner detector. Compared to the previous one, Harris' corner detector takes the differential of the corner score into account with reference to direction directly, instead of using shifting patches for every 45 degree angles, and has been proved to be more accurate in distinguishing between edges and corners. Since then, it has been improved and adopted in many algorithms to preprocess images for subsequent applications.
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| - Harris corner detector (en)
- Rilevatore di Harris (it)
- 哈里斯邊角偵測 (zh)
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| - The Harris corner detector is a corner detection operator that is commonly used in computer vision algorithms to extract corners and infer features of an image. It was first introduced by Chris Harris and Mike Stephens in 1988 upon the improvement of Moravec's corner detector. Compared to the previous one, Harris' corner detector takes the differential of the corner score into account with reference to direction directly, instead of using shifting patches for every 45 degree angles, and has been proved to be more accurate in distinguishing between edges and corners. Since then, it has been improved and adopted in many algorithms to preprocess images for subsequent applications. (en)
- Il rilevatore di Harris è un rilevatore di angoli introdotto da Chris Harris e Mike Stephens nel 1988, estensione del che ne migliora l'accuratezza nel distinguere gli angoli dai bordi. Benché sia stato sopravanzato da altri rilevatori come SIFT, SURF e , il rilevatore di Harris rimane un algoritmo importante in visione artificiale, del quale esistono diverse estensioni, e ha applicazioni in registratura, mosaicizzazione, ricostruzione tridimensionale, rilevamento del movimento, riconoscimento di oggetti, image retrieval e video tracking. (it)
- 哈里斯邊角偵測(Harris Corner Detector)是被廣泛運用在電腦視覺的演算法，主要是用於從影像中找出代表邊角的特徵點。最早是由Chris Harris 和Mike Stephens在1988年所提出，在當時是莫拉維克邊角偵測器的改進版本。與 莫拉維克邊角偵測器相比，不是對局部小塊區域作45度角移動，而是考量了方向性值直接算出邊角的微分值，這個方法在當時已被證明可以更準確地去分辨出邊角。自從哈里斯邊角偵測器被提出後，後續有很多演算法試著去改良它，而這類的演算法也在很多影像處理的應用上被採用作為前處理。 (zh)
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| - The Harris corner detector is a corner detection operator that is commonly used in computer vision algorithms to extract corners and infer features of an image. It was first introduced by Chris Harris and Mike Stephens in 1988 upon the improvement of Moravec's corner detector. Compared to the previous one, Harris' corner detector takes the differential of the corner score into account with reference to direction directly, instead of using shifting patches for every 45 degree angles, and has been proved to be more accurate in distinguishing between edges and corners. Since then, it has been improved and adopted in many algorithms to preprocess images for subsequent applications. (en)
- Il rilevatore di Harris è un rilevatore di angoli introdotto da Chris Harris e Mike Stephens nel 1988, estensione del che ne migliora l'accuratezza nel distinguere gli angoli dai bordi. Benché sia stato sopravanzato da altri rilevatori come SIFT, SURF e , il rilevatore di Harris rimane un algoritmo importante in visione artificiale, del quale esistono diverse estensioni, e ha applicazioni in registratura, mosaicizzazione, ricostruzione tridimensionale, rilevamento del movimento, riconoscimento di oggetti, image retrieval e video tracking. (it)
- 哈里斯邊角偵測(Harris Corner Detector)是被廣泛運用在電腦視覺的演算法，主要是用於從影像中找出代表邊角的特徵點。最早是由Chris Harris 和Mike Stephens在1988年所提出，在當時是莫拉維克邊角偵測器的改進版本。與 莫拉維克邊角偵測器相比，不是對局部小塊區域作45度角移動，而是考量了方向性值直接算出邊角的微分值，這個方法在當時已被證明可以更準確地去分辨出邊角。自從哈里斯邊角偵測器被提出後，後續有很多演算法試著去改良它，而這類的演算法也在很多影像處理的應用上被採用作為前處理。 (zh)
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