A novel symmetric plasmonic structure consisting of a metal-insulator-metal waveguide and a rectangular cavity is proposed to investigate Fano resonance performance by adjusting the size of the structure.The Fano reso...A novel symmetric plasmonic structure consisting of a metal-insulator-metal waveguide and a rectangular cavity is proposed to investigate Fano resonance performance by adjusting the size of the structure.The Fano resonance originates from the interference between a local quadrupolar and a broad spectral line in the rectangular cavity.The tuning of the Fano profile is realized by changing the size of the rectangular cavity.The nanostructure is expected to work as an excellent plasmonic sensor with a high sensitivity of about 530 nm/RIU and a figure of merit of about 650.展开更多
针对ORB(Oriented FAST and Rotated BRIEF)算法中的Steer BRIEF描述子只通过比较两个像素点的灰度信息来决定0/1编码,容易产生特征点误匹配现象,本文提出基于像素密度(pixel density)的ORB特征描述子算法,利用两幅图像中相同区域的某...针对ORB(Oriented FAST and Rotated BRIEF)算法中的Steer BRIEF描述子只通过比较两个像素点的灰度信息来决定0/1编码,容易产生特征点误匹配现象,本文提出基于像素密度(pixel density)的ORB特征描述子算法,利用两幅图像中相同区域的某一特征点邻域空间内像素密度的相似性原理,通过比较两个像素点的密度信息来决定0/1编码,计算误匹配率,验证了density-ORB算法在图像模糊、压缩、光照变化、视角变化等条件下的鲁棒性.实验结果表明,该算法减少了特征点的误匹配个数,特征点误匹配率比ORB算法降低了2.80%.展开更多
基金the National Natural Science Foundation of China under Grant No 61178004the Tianjin Natural Science Foundation under Grant No 12JCQNJC01100+1 种基金the Doctoral Program of Higher Education of China under Grant No 20110031120005the Program for Changjiang Scholars and Innovative Research Team in Nankai University.
文摘A novel symmetric plasmonic structure consisting of a metal-insulator-metal waveguide and a rectangular cavity is proposed to investigate Fano resonance performance by adjusting the size of the structure.The Fano resonance originates from the interference between a local quadrupolar and a broad spectral line in the rectangular cavity.The tuning of the Fano profile is realized by changing the size of the rectangular cavity.The nanostructure is expected to work as an excellent plasmonic sensor with a high sensitivity of about 530 nm/RIU and a figure of merit of about 650.
文摘针对ORB(Oriented FAST and Rotated BRIEF)算法中的Steer BRIEF描述子只通过比较两个像素点的灰度信息来决定0/1编码,容易产生特征点误匹配现象,本文提出基于像素密度(pixel density)的ORB特征描述子算法,利用两幅图像中相同区域的某一特征点邻域空间内像素密度的相似性原理,通过比较两个像素点的密度信息来决定0/1编码,计算误匹配率,验证了density-ORB算法在图像模糊、压缩、光照变化、视角变化等条件下的鲁棒性.实验结果表明,该算法减少了特征点的误匹配个数,特征点误匹配率比ORB算法降低了2.80%.
