This work presents a quasi-three dimensional scattering model to predict the polarization properties of an indoor radio channel. The proposed model considers not only the effect of the polarization of fields scattered by scatterers but also extends the ellipse model to a quasi-three dimensional model. In the model, all scatterers are considered as a patch scatterer and distribution properties o...

Ellipse detection is a very important problem in the field of pattern recognition and computer vision. The existing algorithms often use a bottom-up strategy to combine edge points or elliptical arcs into ellipses, hence limit their robustness. In this paper, we propose a fast and robust ellipse detection algorithm which can accurately detect ellipses in the images. The main idea of the propose...

Several papers addressed ellipse detection as a first step for several computer vision applications, but most of the proposed solutions are too slow to be applied in real time on large images or with limited hardware resources. This paper presents a novel algorithm for fast and effective ellipse detection and demonstrates its superior speed performance on large and challenging datasets. The pro...

The general ellipse packing problem is to find a non-overlapping arrangement of n ellipses with (in principle) arbitrary size and orientation parameters inside a given type of container set. Here we consider the general ellipse packing problem with respect to an optimized circle container with minimal radius. Following the review of selected topical literature, we introduce a new model formulat...

Introduction: Outer planets missions have imaged active volcanic plumes at Io and Enceladus. These phenomena provide key constraints on subsurface processes and models of planetary composition [1]. To date, over 70 distinct images containing plumes have been collected. Since these plumes are transient events and cannot be anticipated in advance, capturing them requires good luck and many images...

This paper presents a novel Boundary-based approach in one-class classification that is inspired by support vector data description (SVDD). The SVDD is a popular kernel method which tries to fit a hypersphere around the target objects and of course more precise boundary is relied on selecting proper parameters for the kernel functions. Even with a flexible Gaussian kernel function, the SVDD cou...

This paper presents a new method for fitting an ellipse to a point sequence extracted from images. It is widely known that the best fit is obtained by maximum likelihood. However, it requires iterations, which may not converge in the presence of large noise. Our approach is algebraic distance minimization; no iterations are required. Exploiting the fact that the solution depends on the way the ...

the purpose of this paper is to analyze the utility operating radius and service on city parks in ardabil neighborhood, local, regional and urban level, to investigate the relationship between the distribution of these parks with water levels in the city of ardabil, including shorabil lake and balyqlv river and reviews for distribution park. the data and information used by documentary. to anal...