Efficient image representation for object recognition via pivots selection

Patch-level features are essential for achieving good performance in computer vision tasks. Besides wellknown pre-defined patch-level descriptors such as scaleinvariant feature transform (SIFT) and histogram of oriented gradient (HOG), the kernel descriptor (KD) method [1] offers a new way to “grow-...

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Veröffentlicht in:	Frontiers of Computer Science 2015-06, Vol.9 (3), p.383-391
Hauptverfasser:	XIE, Bojun, LIU, Yi, ZHANG, Hui, YU, Jian
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science Computer vision efficient hierarchical kernel descriptor efficient kernel descriptor image-level features incomplete Cholesky decomposition Object recognition patch-level features Principal components analysis Research Article SIFT 不完全Cholesky分解图像表示对象识别描述符支点核主分量分析计算机视觉
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