ICASSP
2011
IEEE
13 years 4 months ago
2011
IEEE
This paper presents a novel method for facial expression classification that employs the combination of two different feature sets in an ensemble approach. A pool of base classi...
TITB
2010
13 years 7 months ago
2010
The aging population and the growing amount of medical data have increased the need for automated tools in the neurology departments. Although the researchers have been developing ...
ACCV
2010
Springer
13 years 7 months ago
2010
Springer
Many state-of-the-art face recognition algorithms use image descriptors based on features known as Local Binary Patterns (LBPs). While many variations of LBP exist, so far none of ...
ICIP
2009
IEEE
13 years 10 months ago
2009
IEEE
Unconstrained face recognition is the problem of deciding if an image pair is showing the same individual or not, without having class specific training material or knowing anythi...
ICCV
2009
IEEE
13 years 10 months ago
2009
IEEE
We present a novel action recognition method which is based on combining the effective description properties of Local Binary Patterns with the appearance invariance and adaptabil...
ICB
2009
Springer
13 years 10 months ago
2009
Springer
Abstract. We present a novel approach for human gait recognition that inherently combines appearance and motion. Dynamic texture descriptors, Local Binary Patterns from Three Ortho...
MVA
2007
14 years 2 months ago
2007
Dynamic texture is an extension of texture to the temporal domain. Recently, a powerful method for dynamic texture recognition based on volume local binary patterns (VLBP) was pro...
FGR
2006
IEEE
14 years 6 months ago
2006
IEEE
One of the major problem in face authentication systems is to deal with variations in illumination. In a realistic scenario, it is very likely that the lighting conditions of the ...
ICPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Dynamic texture (DT) is an extension of texture to the temporal domain. In this paper, we address the problem of segmenting DT into disjoint regions in an unsupervised way. Each r...