计算机应用研究2018，Vol.35Issue(3)：922-925,929,5.DOI:10.3969/j.issn.1001-3695.2018.03.059
增强现实诱导维修进程识别策略
Recognition strategy for augmented reality induced maintenance process
摘要
Abstract
In view of the problem that the traditional augmented reality maintenance system can not effectively perceive and judge the state of maintenance,this paper proposed a method based on PNN for maintenance process identification.The strategy shifted the focus from the maintenance object itself to the nearby removed parts placement area,used the curvelet transform to generate the edge image of the disassembled parts,then generated the Hu invariant moment characteristic value,which was used as the input of PNN neural network to classify and identify the parts of the process,finally got the current maintenance process.Experimental results show that the recognition accuracy of the proposed method is significantly higher than that of the image matching method and curvelet invariant moment method,which provides a new idea and solution for the scene perception.关键词
增强现实/诱导维修/概率神经网络/进程识别Key words
augmented reality/induced maintenance/PNN/process identification分类
信息技术与安全科学引用本文复制引用
饶楚锋,韩华亭,王崴,瞿珏,李自豪..增强现实诱导维修进程识别策略[J].计算机应用研究,2018,35(3):922-925,929,5.基金项目
国家自然科学基金资助项目(51405505) （51405505）
