结合SOAR与ARKit的增强现实工程模拟系统仿真
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摘要
在移动互联网背景下,增强现实类型的手机端应用越来越多.然而,大多数的此类软件都需要识别图来完成信息展示或者互动娱乐,因此软件的稳定性受识别图的影响很大.由于忽视了人工智能在增强现实领域的重要作用,导致此类软件的智能性欠佳.因此,提出一种结合SOAR与ARKit的增强现实工程模拟系统,在不需要识别图的前提下,利用ARKit技术就可以完成信息展示以及互动娱乐,在遵循以用户体验为中心的设计原则下,结合SOAR模型理论构建工程模拟系统,通过反复的性能测试,提高系统的智能性,丰富人机交互方式.仿真结果表明,结合SOAR与ARKit的增强现实工程模拟系统不仅提高了此类软件的稳定性,而且调动了用户主动交互的积极性.
In the context of mobile Internet,there are more and more mobile applications of augmented reality.However,most of these software needs to identify the picture to display the information or play entertainment.Therefore,the stability of the software is greatly affected by the picture.Ignoring the important role of artificial intelligence in augmented reality,this software is not very smart.Therefore,an augmented reality engineering system based on SOAR and ARKit is presented in this paper.With ARKit technology,information display and interactive entertainment can be accomplished without the picture.Following the design of the user experience center,the engineering simulation system is combined the SOAR model,to improve the intelligence of the system and enrich the interactive mode through the testing.Simulation results show that the augmented reality engineering system based on SOAR and ARKit not only improves the stability of software,but also encourages the initiative of user interaction.
In the context of mobile Internet,there are more and more mobile applications of augmented reality.However,most of these software needs to identify the picture to display the information or play entertainment.Therefore,the stability of the software is greatly affected by the picture.Ignoring the important role of artificial intelligence in augmented reality,this software is not very smart.Therefore,an augmented reality engineering system based on SOAR and ARKit is presented in this paper.With ARKit technology,information display and interactive entertainment can be accomplished without the picture.Following the design of the user experience center,the engineering simulation system is combined the SOAR model,to improve the intelligence of the system and enrich the interactive mode through the testing.Simulation results show that the augmented reality engineering system based on SOAR and ARKit not only improves the stability of software,but also encourages the initiative of user interaction.
引文
[1]胡庆夕,刘涛,姚远.基于增强现实技术的三维交互建模[J].计算机工程,2010,36(13):236-238.
[2]严雷,杨晓刚,郭鸿飞,等.结合图像识别的移动增强现实系统设计与应用[J].中国图像图形学报,2016,21(2):0184-0191.
[3]PIRCHHEIM C,SCHMALSTIEG D,REITMAYR G.Handling pure camera rotation in keyframe-based slam[C]//2013IEEE Intemational Symposium on Mixed and Augmented Reality.Adelaide,SA:IEEE,2013:229-238.
[4]林一,陈靖,刘越,等.基于心智模型的虚拟现实与增强现实混合式移动导览系统的用户体验设计[J].计算机学报,2015,38(2):408-421.
[5]王相海,朱毅欢,耿丹,等.基于Cauchy分布模型与NSST变换的图像去噪算法[J].辽宁师范大学学报(自然科学版),2017,40(3):324-331.
[6]俞金国,徐艺洋.基于GIS的自驾车营地建设适宜性评价——以大连市旅顺口区为例[J].辽宁师范大学学报(自然科学版),2017,40(3):372-378.
[7]IKEDA S.Model-based registration of multi-rigid-body for augmented Reality[C]//Proceedubgs of SPIE-the International Societyfor Optical Engineering.San Jose,USA,2009:723-731.
[8]REBECQ H,HORSTSCHAEFER T,SCARAMUZZA D.Real-time visual-inertial odometry for event cameras using keyframebased nonlinear optimization[C]//British Machine Vision Conference,2017:45-58.
[9]LEUTENEGGER S,LYNEN S,BOSSE M.Keyframe-based visual-inertial odometry using nonlinear optimization[J].International Journal of Robotics Research,2015,34(3):314-334.
[10]LI M Y,MOURIKES,ANASTASIOSL I.High-precision,consistent EKF-based visual–inertial odometry[J].International Journal of Robotics Research,2013,32(6):690-711.
[11]DONG Z,ZHANG G,JIA J,et al.Keyframe-based real-time camera tracking[C]∥International Conference on Computer Vision,IEEE,2009:1538-1545.
[12]李扬,孙超,张明敏,等.跟踪与匹配并行的增强现实注册方法[J].中国图像图形学报,2011,16(4):680-685.
[13]高庆宁.基于SOAR模型的网络舆情演变过程中群体行为分析与仿真[D].南京:南京理工大学,2016.
[14]吴涛,孙向军,赵斯强.Soar在水面舰艇CGF防空决策行为模型构建中的应用[J].指挥控制与仿真,2013,35(2):108-112.
[15]陈思,赵骥,吴教丰,等.基于虚拟现实的灌装饮料生产线行为仿真与应用[J].计算机工程,2015,41(5):306-310.
[2]严雷,杨晓刚,郭鸿飞,等.结合图像识别的移动增强现实系统设计与应用[J].中国图像图形学报,2016,21(2):0184-0191.
[3]PIRCHHEIM C,SCHMALSTIEG D,REITMAYR G.Handling pure camera rotation in keyframe-based slam[C]//2013IEEE Intemational Symposium on Mixed and Augmented Reality.Adelaide,SA:IEEE,2013:229-238.
[4]林一,陈靖,刘越,等.基于心智模型的虚拟现实与增强现实混合式移动导览系统的用户体验设计[J].计算机学报,2015,38(2):408-421.
[5]王相海,朱毅欢,耿丹,等.基于Cauchy分布模型与NSST变换的图像去噪算法[J].辽宁师范大学学报(自然科学版),2017,40(3):324-331.
[6]俞金国,徐艺洋.基于GIS的自驾车营地建设适宜性评价——以大连市旅顺口区为例[J].辽宁师范大学学报(自然科学版),2017,40(3):372-378.
[7]IKEDA S.Model-based registration of multi-rigid-body for augmented Reality[C]//Proceedubgs of SPIE-the International Societyfor Optical Engineering.San Jose,USA,2009:723-731.
[8]REBECQ H,HORSTSCHAEFER T,SCARAMUZZA D.Real-time visual-inertial odometry for event cameras using keyframebased nonlinear optimization[C]//British Machine Vision Conference,2017:45-58.
[9]LEUTENEGGER S,LYNEN S,BOSSE M.Keyframe-based visual-inertial odometry using nonlinear optimization[J].International Journal of Robotics Research,2015,34(3):314-334.
[10]LI M Y,MOURIKES,ANASTASIOSL I.High-precision,consistent EKF-based visual–inertial odometry[J].International Journal of Robotics Research,2013,32(6):690-711.
[11]DONG Z,ZHANG G,JIA J,et al.Keyframe-based real-time camera tracking[C]∥International Conference on Computer Vision,IEEE,2009:1538-1545.
[12]李扬,孙超,张明敏,等.跟踪与匹配并行的增强现实注册方法[J].中国图像图形学报,2011,16(4):680-685.
[13]高庆宁.基于SOAR模型的网络舆情演变过程中群体行为分析与仿真[D].南京:南京理工大学,2016.
[14]吴涛,孙向军,赵斯强.Soar在水面舰艇CGF防空决策行为模型构建中的应用[J].指挥控制与仿真,2013,35(2):108-112.
[15]陈思,赵骥,吴教丰,等.基于虚拟现实的灌装饮料生产线行为仿真与应用[J].计算机工程,2015,41(5):306-310.