Analysis of Electromagnetic Scattering from a Conducting Spherical Shell by the 3D Point Matching Method with Mode Expansion

2014 ◽  
Vol E97.C (7) ◽  
pp. 714-717
Author(s):  
Shinichiro OHNUKI ◽  
Kenichiro KOBAYASHI ◽  
Seiya KISHIMOTO ◽  
Tsuneki YAMASAKI
Keyword(s):  
Spherical Shell ◽  
Electromagnetic Scattering ◽  
Matching Method ◽  
Point Matching ◽  
Mode Expansion

Application of the Point-Matching Method to Shallow-Spherical-Shell Theory

1962 ◽  
Vol 29 (4) ◽  
pp. 745-747 ◽  
Author(s):  
H. D. Conway ◽  
A. W. Leissa
Keyword(s):  
Spherical Shell ◽  
Shell Theory ◽  
Shallow Spherical Shell ◽  
Circular Pipe ◽  
Radial Load ◽  
Matching Method ◽  
Spherical Shells ◽  
Point Matching ◽  
Circular Base

Using Reissner’s [1] theory of the bending of shallow spherical shells, two unsymmetrical problems are investigated by the method of point-matching. The first is a uniformly loaded spherical shell clamped on a square base, numerical values of the moments and membrane forces being obtained and compared with the corresponding values for the case of a clamped circular base. The second problem is a spherical shell with a rigid elliptical insert, the latter carrying a central radial load. This gives information concerning the problem of a spherical shell which is pierced at an angle by a relatively rigid circular pipe.

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.

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