Key point reduction in SIFT descriptor used by subtractive clustering

The SIFT descriptor is one of the most widely used descriptors and is very stable in regard to changes in rotation, scale, affine, illumination, etc. This method is based on key points extracted from the image. If there are many such points, a lot of time will be needed in the matching and recogniti...

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Bibliographische Detailangaben

Hauptverfasser:	Alitappeh, R. J., Saravi, K. J., Mahmoudi, F.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Clustering algorithms Data mining Feature extraction Object recognition SIFT Descriptor Subtractive Clustering Training Vectors
Online-Zugang:	Volltext bestellen
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