基于激光虚拟的远程实验室系统设计与实现
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摘要
为了提高实验室的远程控制性能和虚拟现实性,采用激光虚拟现实技术进行远程实验室系统设计,提出基于激光虚拟现实量化跟踪融合技术的远程实验室系统设计方法。基于Multigen Creator软件建立远程实验室系统的3D虚拟现实环境,进行激光虚拟成像的实验室虚拟现实图像的量化融合跟踪处理,提高实验室虚拟图像控制的像素跟踪能力。将激光虚拟图像处理程序加载到交叉编译软件中,通过对实验室的三维虚拟重构,结合3D几何模型进行图形渲染,采用激光三维扫描技术进行实验室场景的图形重建,实现实验室系统的虚拟现实视景重构,采用Vega Prime建立三维虚拟的实验室环境,实现远程实验室系统的激光虚拟现实优化设计。系统测试结果表明,本文设计的虚拟实验系统具有很好的人机交互性,实验室虚拟现实逼真度较高,实验室的远程控制性能较好。
In order to improve the remote control performance and virtual reality of the laboratory,the laser virtual reality technology is used to design the remote laboratory system. The design method of remote laboratory system based on laser virtual reality quantization tracking fusion technology is presented. The 3 D virtual reality environment of remote laboratory system is established based on Multigen Creator software. In order to improve the pixel tracking ability of virtual image control,the laser virtual image processing program is loaded into cross-compile software. Through the 3 D virtual reconstruction of the laboratory,combined with 3 D geometric model for graphics rendering,the laser 3 D scanning technology is used to reconstruct the scene of the laboratory,and the virtual reality reconstruction of the laboratory system is realized. The 3 D virtual laboratory environment is established by using Vega Prime,and the laser virtual reality optimization design of remote laboratory system is realized. The system test results show that. The virtual experiment system designed in this paper has good human-computer interaction,high fidelity of virtual reality and good remote control performance.
In order to improve the remote control performance and virtual reality of the laboratory,the laser virtual reality technology is used to design the remote laboratory system. The design method of remote laboratory system based on laser virtual reality quantization tracking fusion technology is presented. The 3 D virtual reality environment of remote laboratory system is established based on Multigen Creator software. In order to improve the pixel tracking ability of virtual image control,the laser virtual image processing program is loaded into cross-compile software. Through the 3 D virtual reconstruction of the laboratory,combined with 3 D geometric model for graphics rendering,the laser 3 D scanning technology is used to reconstruct the scene of the laboratory,and the virtual reality reconstruction of the laboratory system is realized. The 3 D virtual laboratory environment is established by using Vega Prime,and the laser virtual reality optimization design of remote laboratory system is realized. The system test results show that. The virtual experiment system designed in this paper has good human-computer interaction,high fidelity of virtual reality and good remote control performance.
引文
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[5] FERRARA P,BIANCHI T,ROSA A D,et al. Image Forgery Localization via Fine-Grained Analysis of CFA Artifacts[J]. IEEE Transactions on Information Forensics&Security,2012,7(5):1566-1577.
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[8]郑继明,苏慧嘉.基于颜色分量间相关性的图像拼接篡改检测方法[J].计算机应用,2017,37(10):2903-2906.
[9]王波,孔维祥,尤新刚.利用颜色滤波矩阵估计原图的拼接定位盲取证[J].电子与信息学报,2012,34(1):200-206.
[10]周洪,任正涛,胡文山,等.基于NCSLab 3D的虚拟远程实验系统设计与实现[J].计算机工程,2016,42(10):20-25.
[11] NAN P,JIN P,XING W U,et al. Design and implementation of 3D footprint laser quantitative testing system[J].Journal of Central South University,2016.
[12] SIWEI L,XUNYU P,XING Z. Exposing region splicing forgeries with blind local noise estimation[J]. International Journal of Computer Vision,2014,110(2):202-221.
[13]宋颖超,罗海波,惠斌,等.尺度自适应暗通道先验去雾方法[J].红外与激光工程,2016,45(9):1-12.
[14]王一帆,尹传历,黄义明,等.基于双边滤波的图像去雾[J].中国图象图形学报,2014,19(3):386-392.
[15] HUANG Y,WU Z,WANG L,et al. Feature coding in image classification:a comprehensive study[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2014,36(3):493-506.
[16]王蔓,颜佳,吴敏渊.基于视觉相似性的去色图像质量评估[J].计算机应用,2017,37(10):2926-2931.
[17]周毅敏,李光耀.多重光照色差下图像平滑美化处理算法[J].计算机科学,2016,43(10):287-291.
[18]李景丽,刘晓芳.基于FPGA和KNN粒子聚类的商场多元监测设计[J].科技通报,2015,31(2):88-91.
[19]杨飞,朱志祥,梁小江.基于SPICE协议的云实验室设计与实现[J].现代电子技术,2016,39(1):13-15..