典型文献
LOEN:Lensless opto-electronic neural network empowered machine vision
文献摘要：
Machine vision faces bottlenecks in computing power consumption and large amounts of data.Although opto-electronic hybrid neural networks can provide assistance,they usually have complex structures and are highly dependent on a coherent light source;therefore,they are not suitable for natural lighting environment applications.In this paper,we propose a novel lensless opto-electronic neural network architecture for machine vision applications.The architecture optimizes a passive optical mask by means of a task-oriented neural network design,performs the optical convolution calculation operation using the lensless architecture,and reduces the device size and amount of calculation required.We demonstrate the performance of handwritten digit classification tasks with a multiple-kernel mask in which accuracies of as much as 97.21％were achieved.Furthermore,we optimize a large-kernel mask to perform optical encryption for privacy-protecting face recognition,thereby obtaining the same recognition accuracy performance as no-encryption methods.Compared with the random MLS pattern,the recognition accuracy is improved by more than 6％.
文献关键词：
中图分类号：
作者姓名：
Wanxin Shi;Zheng Huang;Honghao Huang;Chengyang Hu;Minghua Chen;Sigang Yang;Hongwei Chen
作者机构：
Beijing National Research Center for Information Science and Technology(BNRist),Department of Electronic Engineering,Tsinghua University,Beijing 100084,China
文献出处：
引用格式：
[1]Wanxin Shi;Zheng Huang;Honghao Huang;Chengyang Hu;Minghua Chen;Sigang Yang;Hongwei Chen-.LOEN:Lensless opto-electronic neural network empowered machine vision)[J].光：科学与应用（英文版）,2022(06):1118-1129
A类：
LOEN,Lensless
B类：
opto,electronic,neural,empowered,machine,vision,Machine,faces,bottlenecks,computing,consumption,large,amounts,data,Although,hybrid,networks,can,provide,assistance,they,usually,have,complex,structures,highly,dependent,coherent,source,therefore,not,suitable,natural,lighting,environment,applications,In,this,paper,propose,novel,lensless,architecture,optimizes,passive,optical,mask,means,oriented,design,performs,convolution,calculation,operation,using,reduces,device,size,required,We,demonstrate,performance,handwritten,digit,classification,tasks,multiple,kernel,which,accuracies,much,achieved,Furthermore,encryption,privacy,protecting,recognition,thereby,obtaining,same,accuracy,methods,Compared,random,MLS,pattern,improved,than
AB值：
0.58444
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