Error Prediction of the Point Matching Method for EM Scattering from a Conducting Rectangular Cylinder

2009 ◽  
Vol 129 (10) ◽  
pp. 727-728 ◽  
Author(s):  
Shinichiro Ohnuki ◽  
Takahisa Mochizuki ◽  
Tsuneki Yamasaki
Keyword(s):  
Error Prediction ◽  
Matching Method ◽  
Em Scattering ◽  
Point Matching ◽  
Rectangular Cylinder

A Distributed Intelligent Agent Platform for Genetic Optimization in CEM: Applications in a Quasi-Point Matching Method

2007 ◽  
Vol 55 (3) ◽  
pp. 619-628 ◽  
Author(s):  
Dimitrios G. Lymperopoulos ◽  
Nikolaos L. Tsitsas ◽  
Dimitra I. Kaklamani
Keyword(s):  
Intelligent Agent ◽  
Genetic Optimization ◽  
Matching Method ◽  
Point Matching ◽  
Agent Platform

A Generalized Point-Matching Method for Solving Electromagnetic Problems

2021 ◽  
Author(s):  
Ge Zhao ◽  
Yi Zhou ◽  
Wen Zhao Li ◽  
Mei Song Tong
Keyword(s):  
Matching Method ◽  
Point Matching ◽  
Electromagnetic Problems

Building a Standard 3D Face Database Based on Planar Templates

2011 ◽  
Vol 48-49 ◽  
pp. 280-283
Author(s):  
Xin Xin Li ◽  
Xun Gong
Keyword(s):  
3D Models ◽  
Face Database ◽  
Matching Method ◽  
Matching Accuracy ◽  
Point Matching ◽  
Dense Point ◽  
The Mean ◽  
Point To Point ◽  
3D Face Database ◽  
2D Space

This paper presents a new point matching method to solve the dense point-to-point alignment of scanned 3D faces. Texture maps of 3D models are generated at first by unwrapping 3D faces to 2D space. Then, we build planar templates based on the mean shape computed by a group of annotated texture map. 34 landmarks on the unwrapped texture images are located by AAM and the final correspondence is built according to the templates. Comparing to the traditional algorithms, the presented point matching method can achieve good matching accuracy and stability.

Analysis of the modified point-matching method in the electrostatic problem for axisymmetric particles

2016 ◽  
Vol 121 (2) ◽  
pp. 289-303 ◽  
Author(s):  
V. G. Farafonov ◽  
V. I. Ustimov ◽  
A. R. Tulegenov
Keyword(s):  
Matching Method ◽  
Electrostatic Problem ◽  
Point Matching

Stress Analysis and the Characteristics of T-Shape Bolted Joints Under Tensile Loadings

2005 ◽  
Author(s):  
Toshiyuki Sawa ◽  
Seiichi Hamamoto
Keyword(s):  
Bending Moment ◽  
Theory Of Elasticity ◽  
Bolted Joints ◽  
Load Factor ◽  
Two Dimensional ◽  
Bolted Joint ◽  
Dimensional Theory ◽  
Matching Method ◽  
Point Matching ◽  
Bolt Stress

In designing a bolted joint, it is important to examine the interface stress distribution (clamping effect) and to estimate the load factor, that is the ratio of an additional axial bolt force to a load. In order to improve the clamping effect raised faces of the interface have been used. But these interfaces in bolted joints have been designed empirically and the theoretical grounds are not made clear. In the present paper, in the case of T-shaped flanges with raised faces the clamping effect is analyzed by a two-dimensional theory of elasticity and the point matching method. Then, the load factor is analyzed. Moreover, with the application of the load a bending moment is occurred in bolts and the stress is added due to this bending moment. The bending moment in the bolt is also analyzed. In order to verify these analyses experiments to measure the load factor and the maximum bolt stress were carried out. The values of the load factor and the load when interface start to separate are compared with those of the joints with flat-faces. The analytical results are in fairly good agreements with the experimental ones.

An efficient hyper-graph based tie point matching method for aerial imagery

2020 ◽  
Vol 11 (4) ◽  
pp. 313-322
Author(s):  
Yingdan Wu ◽  
Yang Ming ◽  
Han Tan
Keyword(s):  
Aerial Imagery ◽  
Matching Method ◽  
Point Matching
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