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 present dense medial descriptors, a new technique which generalizes the well-known medial axes to encode and manipulate whole 2D grayvalue images, rather than binary shapes. To compute our descriptors, we first reduce an image to a set of threshold-sets in luminance space. Next, we compute a simplified representation of each threshold-set using a noise-resistant medial axis transform. Finall...

A common method to determine the order of minimal realization of a continuous linear time invariant descriptor system is to decompose it into slow and fast subsystems using the Weierstrass canonical form. The Weierstrass decomposition should be avoided because it is generally an ill-conditioned problem that requires many complex calculations especially for high-dimensional systems. The present ...

In the medical field, images are increasingly used to facilitate diagnosis of diseases. These images are stored in multimedia databases accompanied by doctor’s prescriptions and other information related to patients. Search for medical images has become for clinical applications an essential tool to bring effective aid in diagnosis. Content Based Image Retrieval (CBIR) is one of the possible so...

Concept-based video retrieval is a developing area of current multimedia content analysis research. The use of spatio-temporal descriptors in content-based video retrieval has always seemed like a promising way to bridge the semantic gap problem in ways that typical visual retrieval methods cannot. In this paper we propose a spatio-temporal descriptor called ST-MP7EH which can address some of t...

Traditional appearance-based head pose estimation methods use the holistic face appearance as input and then employ statistic learning methods to extract low dimension features for classification. However, the face appearance may be more related to the unique identity of an individual rather than head poses. In this paper, we propose an image descriptor, covariance of oriented gradients (COG), ...

Analysis of intrinsic symmetries of non-rigid and articulated shapes is an important problem in pattern recognition with numerous applications ranging from medicine to computational aesthetics. Considering articulated planar shapes as closed curves, we show how to represent their extrinsic and intrinsic symmetries as self-similarities of local descriptor sequences, which in turn have simple int...

Since the local feature-based methods recognize interior content and utilize the rich information of the sketches and 2D views of 3D model, this paper proposes a novel sketch-based 3D model retrieval algorithm which utilizes local feature descriptors to describe the object shape. Firstly, we propose PCA-DAISY descriptor to create the efficient local feature descriptors. The DAISY descriptor con...

In this paper, we propose to investigate the role of a new descriptor named Kernel Descriptor (KDES), recently introduced in 1 for hand posture recognition. As the hand posture has it own the color characteristic, we will examine kernel descriptor in diffident color channels such as HSV, RGB, Lab to find out the most suitable color space for kernel representation of hand posture. We perform ext...

Fourier Coefficients have long been used to achieve invariance to signal transformations. In this paper we propose a Global Rotation Invariant Descriptor (GRID) for matching images based on the Discrete Fourier Transform (DFT). Following the analysis of the sampling criteria for generating such descriptors, it is shown that the descriptor can be made invariant to changes in scale as well under ...