Fast SIFT design for real-time visual feature extraction

Visual feature extraction with scale invariant feature transform (SIFT) is widely used for object recognition. However, its real-time implementation suffers from long latency, heavy computation, and high memory storage because of its frame level computation with iterated Gaussian blur operations. Th...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 22(2013), 8 vom: 21. Aug., Seite 3158-67
1. Verfasser:	Chiu, Liang-Chi (VerfasserIn)
Weitere Verfasser:	Chang, Tian-Sheuan, Chen, Jiun-Yen, Chang, Nelson Yen-Chung
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2013
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article