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...

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 ...

[Purpose] The aim of the present study was to examine the influence of wobble board training on static balance, with and without vision, of adolescents with Down syndrome (DS). [Subjects] Ten adolescents with DS were recruited for this study. [Methods] Participants performed quiet standing with their eyes open and closed, pre- and post-wobble board training. During quiet standing, the center of...

Four data sets are analyzed to quantify three effects of luminance of samples on chromaticity discrimination: on ellipse area, axis dimensions (a and b), and a/b ratio. Ellipses for aperture, surface, and simulated surface colors in CIE 1931 and 1964 x, y, Y color spaces are shown to reduce axis dimensions with higher luminance by different functions for the major and minor axes. Reduction is g...

Speech features such as formants of vowels uttered by many talkers are considered to form a normal distribution in each phoneme on a feature space. However, those features may apparently show the different dispersions peculiar to the estimation methods. Therefore, if the correct distributions can be found by a credible method, it will make clear the definition of feature estimation errors so th...