Global shape reconstruction of nano grid with singly fixed camera

作     者：WEI YangJie WU ChengDong DONG ZaiLi 

作者机构：Graduate School of Chinese Academy of Sciences & the State Key Laboratory of RoboticsShenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China School of Information Science & EngineeringNortheast UniversityShenyang 110004China State Key Laboratory of RoboticsShenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2011年第54卷第4期

页      面：1044-1052页

核心收录：

学科分类：1304[艺术学-美术学] 13[艺术学] 07[理学] 070205[理学-凝聚态物理] 08[工学] 080501[工学-材料物理与化学] 0804[工学-仪器科学与技术] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 0702[理学-物理学] 

基　　金：supported by the CAS FEA international partnership program for creative research teams 

主　　题：depth from defocus diffusion equation shape reconstruction nano grid 

摘      要：Depth from defocus(DFD),as a typical shape reconstruction method,has been widely researched in most recent ***,all the existing DFD algorithms require at least two defocused images with different camera ***,in micro/nano manipulation,any change on visual sensor s parameters is absolutely ***,a novel DFD method to reconstruct the shape of a nano grid on micro/nano scale is researched in this ***,the blurring imaging model is constructed with the relative blurring and the diffusion ***,the relationship between depth and blurring is discussed from four ***,depth measurement problem is transformed into an optimization issue which is solved using the gradient flow ***,experiment results and error analysis are conducted to show the feasibility and effectiveness of the proposed method.