518 search results - page 48 / 104 » Face Recognition Using Sift Features |
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PAMI
2012
13 years 5 days ago
2012
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
ICIP
1999
IEEE
15 years 11 months ago
1999
IEEE
A common feature found in practically all technical approaches proposed for face recognition is the use of only the luminance information associated to the face image. One may won...
AVBPA
2005
Springer
15 years 3 months ago
2005
Springer
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
ICIP
2004
IEEE
15 years 11 months ago
2004
IEEE
Illumination, pose variations, disguises, aging effects and expression variations are some of the key factors that affect the performance of face recognition systems. Face recogni...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
Local features are widely used for content-based image retrieval and object recognition. We present an efficient method for encoding digital images suitable for local feature extr...