In this paper,the research on the teaching method of children’s image cognition based on AR technology is carried out.By analyzing the principle ofARtechnology to recognize images,we understand thatARtechnology can p...In this paper,the research on the teaching method of children’s image cognition based on AR technology is carried out.By analyzing the principle ofARtechnology to recognize images,we understand thatARtechnology can promote children’s image cognition,and this teaching method is in line with the Tower of Experience theory.It further analyzes the current situation of children’s image cognition teaching with simple teaching methods,backward AR teaching tools,and poor perception of teaching objects.Teachers’traditional image teaching methods cannot effectively and efficiently improve children’s image cognition.Therefore,based on AR technology,two commonly used image cognition teaching methods are proposed:AR interactive picture book education andARinteractive game education.Both of these educational methods can improve children’s ability to recognize images.展开更多
With the rapid popularization of mobile devices and the wide application of various sensors,scene perception methods applied to mobile devices occupy an important position in location-based services such as navigation...With the rapid popularization of mobile devices and the wide application of various sensors,scene perception methods applied to mobile devices occupy an important position in location-based services such as navigation and augmented reality(AR).The development of deep learning technologies has greatly improved the visual perception ability of machines to scenes.The basic framework of scene visual perception,related technologies and the specific process applied to AR navigation are introduced,and future technology development is proposed.An application(APP)is designed to improve the application effect of AR navigation.The APP includes three modules:navigation map generation,cloud navigation algorithm,and client design.The navigation map generation tool works offline.The cloud saves the navigation map and provides navigation algorithms for the terminal.The terminal realizes local real-time positioning and AR path rendering.展开更多
文章基于计算机视觉中的角点检测算法,以Vuforia AR SDK的目标星级评定系统为例,从图形细节与角点分布,图案内容重复性与角点尺度不变性、旋转不变性,图片明暗反差阈值与角点数量三个方面探析作为AR识别物的图像目标的设计要点,以期为从...文章基于计算机视觉中的角点检测算法,以Vuforia AR SDK的目标星级评定系统为例,从图形细节与角点分布,图案内容重复性与角点尺度不变性、旋转不变性,图片明暗反差阈值与角点数量三个方面探析作为AR识别物的图像目标的设计要点,以期为从事AR应用开发的美术设计人员提供通俗易懂的参考,为现今AR图像目标在美术设计中面临的系统化、规范化文献缺失问题,提供一个探析方向。展开更多
在分析信号复原过程的基础上,提出基于功率谱 AR 模型估计的序列图像复原算法.对分段信号的功率谱进行估计,在保持图像整体信息良好的前提下,得到幅值谱的补偿滤波器,从而实现序列图像复原。利用所建模型对风洞试验图像进行实验研究,复...在分析信号复原过程的基础上,提出基于功率谱 AR 模型估计的序列图像复原算法.对分段信号的功率谱进行估计,在保持图像整体信息良好的前提下,得到幅值谱的补偿滤波器,从而实现序列图像复原。利用所建模型对风洞试验图像进行实验研究,复原图像信噪比得到提高,复原以后的图像误差得到很大程度的减小,恢复效果明显。研究表明,采用功率谱 AR 模型估计的复原方法,可以有效地应用于气动光学效应序列图像复原。展开更多
文摘In this paper,the research on the teaching method of children’s image cognition based on AR technology is carried out.By analyzing the principle ofARtechnology to recognize images,we understand thatARtechnology can promote children’s image cognition,and this teaching method is in line with the Tower of Experience theory.It further analyzes the current situation of children’s image cognition teaching with simple teaching methods,backward AR teaching tools,and poor perception of teaching objects.Teachers’traditional image teaching methods cannot effectively and efficiently improve children’s image cognition.Therefore,based on AR technology,two commonly used image cognition teaching methods are proposed:AR interactive picture book education andARinteractive game education.Both of these educational methods can improve children’s ability to recognize images.
基金supported by ZTE Industry⁃University⁃Institute Coopera⁃tion Funds under Grant No.HC⁃CN⁃20210707004.
文摘With the rapid popularization of mobile devices and the wide application of various sensors,scene perception methods applied to mobile devices occupy an important position in location-based services such as navigation and augmented reality(AR).The development of deep learning technologies has greatly improved the visual perception ability of machines to scenes.The basic framework of scene visual perception,related technologies and the specific process applied to AR navigation are introduced,and future technology development is proposed.An application(APP)is designed to improve the application effect of AR navigation.The APP includes three modules:navigation map generation,cloud navigation algorithm,and client design.The navigation map generation tool works offline.The cloud saves the navigation map and provides navigation algorithms for the terminal.The terminal realizes local real-time positioning and AR path rendering.
文摘文章基于计算机视觉中的角点检测算法,以Vuforia AR SDK的目标星级评定系统为例,从图形细节与角点分布,图案内容重复性与角点尺度不变性、旋转不变性,图片明暗反差阈值与角点数量三个方面探析作为AR识别物的图像目标的设计要点,以期为从事AR应用开发的美术设计人员提供通俗易懂的参考,为现今AR图像目标在美术设计中面临的系统化、规范化文献缺失问题,提供一个探析方向。
文摘在分析信号复原过程的基础上,提出基于功率谱 AR 模型估计的序列图像复原算法.对分段信号的功率谱进行估计,在保持图像整体信息良好的前提下,得到幅值谱的补偿滤波器,从而实现序列图像复原。利用所建模型对风洞试验图像进行实验研究,复原图像信噪比得到提高,复原以后的图像误差得到很大程度的减小,恢复效果明显。研究表明,采用功率谱 AR 模型估计的复原方法,可以有效地应用于气动光学效应序列图像复原。
