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《Journal of Hainan Normal University(Natural Science)》 2017-04
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Study on the Applicability of Image Matching Algorithm for Mobile Equipment

HUANG Bihui;WU Yong;ZHENG Senyuan;School of Geographical Science,Fujian Normal University;Fujian Provincial Engineering Research Center for Monitoring and Assessing Terrestrial Disasters;  
Image matching technology,as the core issue of augmented reality,has received widespread attention. Now most research is mainly about how to implement algorithm on the computer and robustness of the algorithm,while the performance,robustness and applicability of the image matching algorithm implemented on mobile devices that has weaker performance and easily affected by outdoor environmental factors are few discussed. To solve this problem,we select the commonly used ORB,BRISK,SURF,FAST_FREAK,FAST_SURF and SURF_FREAK image matching algorithm which uses mobile terminal as the experimental platform to compare and analyze the algorithm from efficiency and robustness,and the number of correct matches and matching score of the two indices are used to evaluate the performance of the algorithm when matching image is transformed. The experimental results show that ORB can meet the requirement of real-time performance.At the same time,the ORB is robust to rotation,illumination,scale and angle of view,and it can better meet the practical requirements of mobile augmented reality.
【Fund】: 国家自然科学基金青年项目(41201417);; 福建省自然科学基金项目(2016J01186);; 福建省省属公益类科研院所专项(2017R1034-4);; 福建省测绘地理信息局局校合作科技项目(2016JX02);; 福建师范大学地理科学学院研究生科研创新基金资助
【CateGory Index】: TP391.41
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