23 search results - page 2 / 5 » Trainable Convolution Filters and Their Application to Face ... |
PAMI
2012
11 years 7 months ago
2012
—Understanding the effect of blur is an important problem in unconstrained visual analysis. We address this problem in the context of image-based recognition, by a fusion of imag...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
We present an unsupervised method for learning a hierarchy of sparse feature detectors that are invariant to small shifts and distortions. The resulting feature extractor consists...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
A novel feature extraction method, namely monogenic binary pattern (MBP), is proposed in this paper based on the theory of monogenic signal analysis, and the histogram of MBP (HMB...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
We propose a novel algorithm for the identification of faces from image samples. The algorithm uses the Kalman filter to identify significant facial traits. Kalmanfaces are compac...
AHS
2006
IEEE
13 years 6 months ago
2006
IEEE
Face recognition is a challenging field of research not only because of the complexity of this subject, but also because of its numerous practical applications. Much progress has ...