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The behavior of two different types of basis functions for the meshless Radial Point Interpolation Method (RPIM) is investigated in this paper. A 2D test function is interpolated through Gaussian and Wendland basis functions and the approximation errors on the low-order derivatives of the test function are calculated. It is shown that the Gaussian basis function is more appropriate for the interpolation...
In this work we develop a post-processing algorithm which enhances the results of the existing image deblurring methods. It performs additional edge sharpening using grid warping. The idea of the proposed algorithm is to transform the neighborhood of the edge so that the neighboring pixels move closer to the edge, and then resample the image from the warped grid to the original uniform grid. The proposed...
This paper introduces a robust iterative algorithm to estimate the parameters of the generalized gamma (GG) distribution. The proposed algorithm loops on an interval Ip of the shape parameter p such that the log-likelihood function are simplified as a univariate objective function for each p ∈ Ip, which can be evaluated efficiently. An iterative procedure is then designed to maximize...
Dynamic time warping (DTW) and derivative dynamic time warping (DDTW) are two robust distance measures for time series, which allows similar shapes to match even if they are out of phase in the time axis. In this paper, we propose a novel dynamic time warping based on cubic spline interpolation (SIDTW) to improve the performance. The derivative of every point of time series is calculated by cubic...
Any data based method is vulnerable to the problem of extrapolation, nonetheless there exists no unified theory on handling it. The main topic of this publication is to point out the differences in definitions of extrapolation and related methods. There are many different interpretations of extrapolation and a multitude of methods and algorithms, which address the problem of extrapolation detection...
In the paper we present an efficient technique for parameterized human body model, which not only utilizes the proportional transformation as most of the previous work have done, but also concentrates on partial transformation about critical parts. Based on the standard template model, various body sizes can be generated by changing of feature parameters. Moreover, we employed physic characteristics...
To achieve more realistic surface design, this paper proposes a new scheme of interpolation subdivision surface, which is extended from interpolation subdivision of Bezier curve. Different from the previous interpolation subdivision schemes, the normal vectors are used to generate a circle from a triangle which results in only 3 vertices and 3 edges. This improvement not only makes a curve smooth,...
In this paper, Multi-dimensional fuzzy set calculation model is introduced, and the method is called Konohen fuzzy. For some actual purposes, formal expression functional model for multi-dimensional solution space can not be obtained so easily. We propose the SPF : sample points based fuzzy set definition method to descrive multi-dimensional fuzzy set which is used to model problems on high-dimensional...
Most prior crowd simulations do not have groups of people moving in a social manner. In our work, we use a two-level steering system based on two classes: group agent and pedestrian agent. By interpolating the current and desired slot positions of the group agent according to formation templates, dynamic social group formations can be achieved and can also adapt to the width of passageways by using...
Path Planning stands in basic positions in robotics, game AI and navigation. Previous solutions generally focused on decompose the environment into grid-like map, which is large in proportion to the size and complexity of the environment, and thus the efficiency of graph construction, update and path-finding suffers. We proposed a waypoint generation method to discretize the environment into a waypoint...
Fuzzy rule interpolation offers a useful means for enhancing the robustness of fuzzy models by making inference possible in sparse rule-based systems. However, in real-world applications of inter-connected rule bases, situations may arise when certain crucial antecedents are absent from given observations. If such missing antecedents were involved in the subsequent interpolation process, the final...
We present a new framework to fit a path to a given finite set of data points on a Riemannian manifold. The path takes the form of a continuously-differentiable concatenation of Riemannian Bezier segments. The selection of the control points that define the Bezier segments is partly guided by the differentiability requirement and by a minimal mean squared acceleration objective. We illustrate our...
A method of concealing characters is proposed for degrading legibility of privacy sensitive textual information in natural scene, such as car license plate numbers and name tags. An important property of the proposed method is that it realizes selective concealing of characters, that is, the proposed method degrades legibility of character regions without degrading the quality of non-character regions...
The goal in group decision making is to ensure that the best decision is made with respect to the available information and knowledge possessed by all group members. However, different types of uncertainty may influence both the assessment of the individual views and the derivation of the overall group-level solution. The difficulty in such decision-making may escalate if the views of all individuals...
Object designing has a significance importance in the field of Computer-Aided Design (CAD), Computer-Aided Geometric Design (CAGD) and Computer-Aided Manufacturing (CAM). In this paper, two techniques for the designing of 2D objects are developer. These are based on rational cubic spline interpolant and rational quadratic spline interpolant with shape parameters controlling the shape of the curve...
Unlike its conventional counterpart, a new vector basis function based meshless method that preserves the divergence property of electromagnetic fields is proposed for solving transient electromagnetic problems. Its divergence properties are investigated through numerical experiment; it is found that artificial charges generated by the proposed method are not present while they are in the conventional...
Subpixel-based downsampling has shown its advantages over pixel-based downsampling in terms of preserving more spatial details along edges and generating sharper images, at the cost of certain amount of color-fringing artifacts in the downsampled image. To balance the sharpness and color-fringing artifacts, some algorithms are proposed to design optimal anti-aliasing (AA) filters, which are either...
In various fields of application, the shape and the tip position of flexible, snakelike objects have to be reconstructed. For this, the considered objects are fitted with so-called shape sensors. This shape sensors are e.g. applied in medical technology to support minimally invasive surgical interventions by tracking flexible instruments; this way navigation systems can be considerably supported....
A novel graph-based optimal segmentation method which can simultaneously segment multiple star-shaped surfaces is presented in this paper. Minimum and maximum surface distance constraints can be enforced between different surfaces. In addition, the segmented surfaces are ensured to be smooth by incorporating surface smoothness constraints which limit the variation between adjacent surface voxels....
This paper presents the determination of the captured image angle and correcting the image distortion using Projective Transformation. A 5-Megapixel camera is used to capture 90 images including one reference image. The images are captured from various angles, distances and directions. An image registration technique is applied to align the captured image with the reference image. Projective transformation...
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