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...
Thiago H. H. Zavaschi, Alessandro L. Koerich, Luiz...
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 ...
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 ...
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...
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...
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...
Vili Kellokumpu, Guoying Zhao, Stan Z. Li, Matti P...
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...
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 ...
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...