43 search results - page 4 / 9 » Recognition with Local Features: the Kernel Recipe |
ACCV
2010
Springer
13 years 1 months ago
2010
Springer
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
ICIP
2003
IEEE
14 years 8 months ago
2003
IEEE
In local feature?based face recognition systems, the topographical locations of feature extractors directly affect the discriminative power of a recognizer. Better recognition acc...
PSIVT
2009
Springer
14 years 1 months ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
A new feature descriptor is presented for object and scene recognition. The new approach, called CDIKP, uniquely combines the scale-invariant feature detection with a robust proje...
ISNN
2004
Springer
14 years 2 days ago
2004
Springer
In this paper, a kernel-based SOM-face method is proposed to recognize expression variant faces under the situation of only one training image per person. Based on the localization...