scholarly journals PETAL: A Parallel Processor For Real-Time Primitive Extraction

1986 ◽  
Author(s):  
Kirk Martinez ◽  
Don E. Pearson
Keyword(s):  
1990 ◽  
Author(s):  
William J. Jacobi ◽  
William B. Kendall ◽  
Leo A. Wadsworth

Author(s):  
M. W. Dubetz ◽  
J. G. Kuhl ◽  
E. J. Haug

Abstract This paper presents a network based implementation of real-time dynamic simulation methods. An interactive animated graphics environment is presented that permits the engineer to view high quality animated graphics rendering of dynamic performance, to interact with the simulation, and to study the effects of design variations, while the simulation is being carried out. An industry standard network computing system is employed to interface the parallel processor that carries out the dynamic simulation and a high speed graphics processor that creates and displays animated graphics. Multi-windowing and graphics processing methods that are employed to provide visualization and operator control of the simulation are presented. A vehicle dynamics application is used to illustrate the methods developed and to analyze communication bandwidth requirements for implementation with a compute server that is remote from the graphics workstation. It is shown that, while massive data sets are generated on the parallel processor during realtime dynamic simulation and extensive graphics data are generated on the workstation during rendering and display, data communication requirements between the compute server and the workstation are well within the capability of existing networks.


2011 ◽  
Vol 46 (10) ◽  
pp. 2363-2373 ◽  
Author(s):  
Takashi Kurafuji ◽  
Masaru Haraguchi ◽  
Masami Nakajima ◽  
Tetsu Nishijima ◽  
Tetsushi Tanizaki ◽  
...  

2005 ◽  
Vol 17 (4) ◽  
pp. 410-419 ◽  
Author(s):  
Takashi Komuro ◽  
◽  
Yoshiki Senjo ◽  
Kiyohiro Sogen ◽  
Shingo Kagami ◽  
...  

We propose a method to realize robust real-time shape recognition against noise and occlusion by using information of an entire image, and by performing image processing in a pixel parallel manner. The evaluation by simulation showed that the proposed method was effective for images with noise or partially occluded images. We implemented the algorithm to a vision chip which performs pixel-parallel processing and confirmed real-time operation. We also estimated the performance of the method on an ideal processor.


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