Research And Development Of "Virus Killing" Demonstration System Based On Vision

With the emergence and development of computer technology, a variety of computer viruses is also accompanied us. And understanding of the types of computer viruses and the development direction and universal knowledge of computer virus protection is becoming increasingly important. Science exhibits "virus killing" demonstration system by demonstrate the game to introduce to the audience of the type of virus, as well as against the way the computer system,and the audience to participate in the form of the game to understand the full process of killing the virus.Based on computer vision "virus killing" demonstration system is different of the traditional demonstration games, it makes the computer vision and virtual reality technology integration into the demonstration game, let audience entered the game world with the personal feeling of the game. In the system design process, this paper on the design of game enginein the demonstration game, camera calibration algorithm methods, recognition and positioning of the target image methods in the background of Chaotic and complex in-depth study and discussion.This paper is on the basis of reading lots of technical literature, design the computer vision-based "virus killing" demonstration system. This paper focuses on the DirectX and its related components, and based on DirectX and its components building the 3D game engine framework,from the application of 3DS MAX to build a model to 3D rendering pipeline, through the model step by step to join the game scenes to complete the demonstration of the game the entire process. System through computer vision technology to the game input device as a demonstration of the electron gun system with the game system comprising the enhanced virtual display system of the gaming world. Comparative and analysis of the commonly used camera calibration methods, and detailed studied of the Tsai classic two-step calibration method and Zhengyou Zhang calibration method. System by the electron gun system of points of light signals in RGB color space sampling and analysis, application of color image segmentation to identify the threshold target spot image and using center of gravity method gray-scale image of the photoelectric target identification and location. Experimental test results show that the proposal is advanced and efficient to meet the normal operation of "virus killing" demonstration system.