文章摘要
杨 路ꎬ祝天禹.基于增强现实和神经网络的校园展示应用设计[J].西昌学院学报(自然科学版),2021,35(1):81-87.
基于增强现实和神经网络的校园展示应用设计
Design of Campus Display Application Based on Augmented Reality and Neural Network
  
DOI:
中文关键词: 增强现实ꎻ神经网络ꎻUnity3DꎻARCoreꎻTensorFlow
英文关键词: :augmented realityꎻ neural networkꎻ unity3Dꎻ ARCoreꎻTensor Flow
基金项目:安徽省自然科学重点项目(KJ2019A1210)?安徽公安职业学院校内重大项目(XN2018ZDA05)?
作者单位
杨 路ꎬ祝天禹 1.安徽公安职业学院信息网络安全监察系ꎬ安徽 合肥 230031ꎻ2.南京工业大学机械与动力工程学院ꎬ 江苏 南京 211816ꎻ3.凤台县公安局ꎬ安徽 凤台 232100 
摘要点击次数: 158
全文下载次数: 129
中文摘要:
      当前的校园展示多采用虚拟现实开发ꎬ该技术让用户完全沉浸入虚拟世界ꎬ但忽略了现实世界的信息ꎮ 增强现实技 术能够在真实世界的基础上叠加虚拟信息ꎬ进一步增强人们的感知体验ꎮ 基于 Unity3D+ARCore+TensorFlow 设计了带平面检 测、多图像和物体识别功能的增强现实应用ꎬ详细描述了虚拟对象、触屏交互、平面检测、图片和物体识别的实现过程和注意 问题ꎬ说明了在脚本和 UI 设计中的性能优化方法ꎮ 测试表明多标识物识别提升了应用的实用性ꎬ物体识别功能丰富了应用 内涵ꎬ增加了校园展示的设计方法ꎬ拓展了增强现实技术的应用范围ꎮ
英文摘要:
      Currently most of the campus displays are developed through virtual reality technologyꎬ which gets users im ̄ mersed in the virtual worldꎬ but ignore information of the real world. In this paperꎬ a campus display application is de ̄ signed based on Unity3D+ARCore+TensorFlowꎬ which provide functions of plane detectionꎬ multi-image and object rec ̄ ognition. The implementation process and problems of virtual objectsꎬ touch screen interactionꎬ plane detectionꎬ image and object recognition are described in detail. Performance optimization methods in scripting and UI design are illustrated. The test shows that multi-marker recognition improves practicabilityꎬ and object recognition enriches application implicationsꎬ which together could increase the design methods of campus displays and expand the application scope of augmented reality technology.
查看全文   查看/发表评论  下载PDF阅读器
关闭