Computer Prototyping of Moving Mechanical Parts

1995 ◽  
Author(s):  
Uday N. Pai ◽  
F. W. Liou
Keyword(s):  
Feature Extraction ◽  
Collision Detection ◽  
Volume Density ◽  
Rigid Bodies ◽  
Geometric Feature ◽  
Constrained Mechanical Systems ◽  
Collision Response ◽  
Automated Simulation ◽  
Physical Laws ◽  
Automatic Simulation

Abstract In this paper computer implementation of automated simulation of rigid bodies in collision is presented. It can be used for automatic simulation of unconstrained and/or constrained mechanical systems. The key tasks include feature extraction, collision detection, constraint identification, collision response, and simulation. Feature extraction includes volumetric feature extraction such as mass, volume, density and moment of inertia, and planar geometric feature extraction like the faces, edges, vertices and their inter-relationships. Collision detection is a kinematic problem involving the positional relationships of rigid bodies in space, while collision response is a dynamic problem involving the prediction of rigid body behavior according to physical laws. Case studies are used to explain the behavior of a typical system comprising of two rigid bodies to explain the underlying principles.

Geometric Feature Extraction of Ship in High-resolution Synthetic Aperture Radar Images

2018 ◽  
Vol 47 (1) ◽  
pp. 110001
Author(s):  
熊伟 XIONG Wei ◽  
徐永力 XU Yong-li ◽  
崔亚奇 CUI Ya-qi ◽  
李岳峰 LI Yue-feng
Keyword(s):  
Feature Extraction ◽  
High Resolution ◽  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Geometric Feature ◽  
Radar Images ◽  
Geometric Feature Extraction ◽  
Aperture Radar

Geometric feature extraction by FTAs for finger‐based biometrics system

2016 ◽  
Vol 6 (3) ◽  
pp. 157-164 ◽  
Author(s):  
Mohd Shahrimie Mohd Asaari ◽  
Shahrel Azmin Suandi ◽  
Bakhtiar Affendi Rosdi
Keyword(s):  
Feature Extraction ◽  
Geometric Feature ◽  
Geometric Feature Extraction

Research of Face Identification Method Based on Geometric Feature Extraction and the Enlargement of Image Interpolation with Scientific Image Materials

2011 ◽  
Vol 63-64 ◽  
pp. 846-849
Author(s):  
Jian Ni ◽  
Yu Duo Li
Keyword(s):  
Feature Extraction ◽  
Feature Vector ◽  
Interpolation Method ◽  
Image Interpolation ◽  
Geometric Feature ◽  
Face Identification ◽  
Human Face ◽  
Training Experience ◽  
Geometric Feature Extraction ◽  
Vector Weight

To achieve human face identification, this paper adopts the method of geometric feature extraction and the enlargement of image interpolation on the basis of the completion of face detection. First of all, the input digital image will be normalized to reduce the complexity of the image, and then the feature of human face will be extract. With the feature information extracted, we can construct the feature vector and assign different weights to different feature vector. Weight is interpreted as the EXP obtained after a large amount of training experience is gained. Finally, to get the similarity of picture, the bilinear interpolation method is adopted on the basis of the nearest interpolation. Thus, we will get the results of face identification according to the similarity quality. Through the development and implementation of practical programming, this paper proves the feasibility of such method.

scholarly journals Geometric Feature Extraction by a Multimarked Point Process

2010 ◽  
Vol 32 (9) ◽  
pp. 1597-1609 ◽  
Author(s):  
Florent Lafarge ◽  
Georgy Gimel'farb ◽  
Xavier Descombes
Keyword(s):  
Feature Extraction ◽  
Point Process ◽  
Geometric Feature ◽  
Geometric Feature Extraction

Collision Detection of Cylindrical Rigid Bodies Using Line Geometry

2005 ◽  
Author(s):  
John S. Ketchel ◽  
Pierre M. Larochelle
Keyword(s):  
Collision Detection ◽  
Nuclear Physics ◽  
Detection Algorithm ◽  
Rigid Bodies ◽  
Three Dimensions ◽  
Necessary Condition ◽  
Infinite Length ◽  
Line Geometry ◽  
Well Drilling ◽  
Necessary And Sufficient

This paper presents a novel methodology for detecting collisions of cylindrically shaped rigid bodies moving in three dimensions. This algorithm uses line geometry and dual number algebra to exploit the geometry of right circular cylindrical objects to facilitate the detection of collisions. First, the rigid bodies are modelled with infinite length cylinders and a necessary condition for collision is evaluated. If the necessary condition is not satisfied then the two bodies are not capable of collision. If the necessary condition is satisfied then a collision between the bodies may occur and we proceed to the next stage of the algorithm. In the second stage the bodies are modelled with finite length cylinders and a definitive necessary and sufficient collision detection algorithm is employed. The result is a straight-forward and efficient means of detecting collisions of cylindrically shaped bodies moving in three dimensions. This methodology has applications in spatial mechanism design, robot motion planning, workspace analysis of parallel kinematic machines such as Stewart-Gough platforms, nuclear physics, medical research, computer graphics and well drilling. A case study examining a spatial 4C robotic mechanism for self collisions is included.

Collision Detection Analysis of 2D Layout Based on Convex Hull Plus Rubber Band Simulation

2014 ◽  
Vol 488-489 ◽  
pp. 1480-1484
Author(s):  
Juan Lu ◽  
Jia Xun Wei ◽  
Wei Xia ◽  
Jun Yan Ma ◽  
Li Ying ◽  
...  
Keyword(s):  
Convex Hull ◽  
Collision Detection ◽  
Design Method ◽  
Rubber Band ◽  
Digital Design ◽  
Detection Methods ◽  
Movement Model ◽  
Model Based ◽  
Collision Response ◽  
Optimized Model

It is an innovative design method in physics that product layout design is abstracted into convex hull plus rubber band simulation layout mode by setting up the optimized model. Based on the physics model of Newtons Second Law, this paper analyzed collision detection methods during the process of realizing reasonable layout, and it is founded that real-time collision detection and collision response during movement, produced components within the given beat, appeared to be the key content of resolving digital model design. In this paper, Area Difference method was adopted to detect when the collision occurred during component movement and what kind of state the component tended to be in collision. At the same time, it also determined the interference degree, solved critical point pose for collision response as well as its generation time and related torque and force, which can confirm the components continued movement model of rotation and sliding. Meanwhile, it employed the Judgment Matrix method to analyze collision response so as to confirm the collision interference relationship and collision action state, movement possessing mode (rotation, sliding and retraction, etc.) within the remaining time after collision with given beat during the layout process. All these provided with a practical solution for digital design of optimized model based on convex hull plus rubber band simulation compact layout.

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