Automatic facial recognition has many potential applications in different areas of humancomputer interaction. However, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. In this paper, we present a new appearance based feature descriptor,the local directional pattern (LDP), to represent facial geometry and analyze its performance inrecognition. An LDP feat...

Object descriptor has become one of the key factors for a robust and accurate tracker. In this paper, we propose an object descriptor combining color information and motion detection. A tracked object can be described by its hue histogram excluding the background pixels around the tracked object for restraining the disturbing of complex background environments. During the tracking process, we m...

This article presents a new descriptor dedicated to Audio Identification (audioID), based on sinusoidal modeling. The core idea is an appropriate selection of the sinusoidal components of the signal to be detected. This new descriptor is robust against usual distortions found in audioID tasks. It has several advantages compared to classical subband-based descriptors including an increased robus...

In interest point based human action recognition, local descriptors are used to represent information in the neighbourhood around each extracted space-time interest point. The performance of the action recognition systems highly depends on the invariance and distinctiveness of the local spatiotemporal descriptor adopted. In this paper, we propose a new descriptor based on the Wavelet Transform ...

We propose BASE, an extended descriptor for RGB-D images, that efficiently combines intensity and geometrical shape information to improve discriminative power. We use this new descriptor to detect and recognize objects under different illumination conditions and apply it within an adaptive boost classification framework to provide semantic information in a mapping task. We compare the performa...

Practical stability is of significant practical importance in scientific and engineering problems but less investigated for descriptor systems. In this paper, the concepts of practical stability are developed to descriptor systems based on the idea of the generalized state which stands for the dynamic part of the state. To derive the main results of this paper, a comparison principle is establi...

identification based on faces is still a useful method for many applications and face recognition developing is an active research field. in this paper, a novel face identification method is proposed. the proposed method (bridle path on gabor phase (bpgp)) is based on extracting texture patterns from phases of the gabor wavelet. also, in order to describe the textures, a novel texture descripto...

Using the descriptor standard form, the decoupling problem of the descriptor system by state feedback is studied. The descriptor system is first transformed in controller form and the necessary and sufficient conditions for the descriptor system to be integrator decoupled are obtained. Then, these conditions are shown to be necessary and sufficient for the closed-loop system poles to be assigne...

We describe a recently developed Descriptor Systems Toolbox implemented under Matlab. This Toolbox relies on the object oriented approach for control systems analysis and design provided within the standard Control Toolbox of Matlab. The basic approach to develop the Descriptor Systems Toolbox was to exploit the powerful matrix and system object manipulation features of Matlab via flexible and ...

We consider the problem of passivity control for a kind of T-S fuzzy system in the literature [1].We will extend it to the uncertain T-S fuzzy descriptor systems with time-delay in this paper. Generally speaking, a mathematical model cannot be used to exactly describe a dynamical system in practice because it is inevitable to include some degrees of uncertainties in the systems. Moreover, time-...