In this paper, we introduce a novel discriminative fea-ture which is efficient for pose estimation. The multi-view face representation is based on Local Gabor Binary Pat-terns(LGBP) and encodes the local facial characteristics in to a compact feature histogram. In LGBP, Gabor fil-ters can extract

In the eld of biometric recognition, similarity measure using local features such as Gabor-based coding, Local Bi-nary Patterns (LBP) and Scale Invariant Feature Transform (SIFT) has been applied to various biometric recognition problems. These features, however, may not always ex-hibit higher

in the following four ways. First, the accuracies of age estimation using a single-level local binary pattern (LBP) and a multilevel LBP (MLBP) are compared, and MLBP shows better performance as an extractor of texture features globally. Second, we compare the accuracies of age estimation using global features

of the samples, color information availability, class types, etc.) of individual datasets. The proposed method uses completed local binary pattern (CLBP), grey level co-occurrence matrix (GLCM), Gabor filter response, and opponent angle and hue channel color histograms as feature descriptors. For classification

RECHERCHES Elastographie par ondes de cisaillement

The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demon-strated that structured signals can be acquired with just a small number of linear measurements, on the order

[ A review of past and recent strategies for sub-Nyquist sampling] Signal processing methods have changed substantially over the last several decades. In modern applications, an increasing number of functions is being pushed forward to sophisticated software algorithms, leaving only delicate finely

mcmxciv This thesis deals with combinatorics in connection with Coxeter groups, finitely generated but not necessarily finite. The representation theory of groups as nonsingular matrices over a field is of immense theoretical importance, but also basic for computational group theory, where