个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:信息与通信工程学院
学科:信号与信息处理
联系方式:84706002-3326; 84706697
电子邮箱:qhlin@dlut.edu.cn
Rapid Triangle Matching Based on Binary Descriptors
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论文类型:会议论文
发表时间:2017-01-01
收录刊物:Scopus、EI、CPCI-S
卷号:10262
页面范围:336-344
关键字:Image matching; RTM; Binary descriptors; FREAK; rBRIEF
摘要:Geometric constraints have been widely applied to image matching to gain additional advantages over feature points. A rapid triangle matching (RTM) algorithm was such an algorithm for matching triangles formed by three feature points using 38-dimensional floating-point descriptors. The RTM was faster than SIFT, but it was still hard to meet the real-time requirement. As such, we designed two kinds of binary descriptors including FREAK and rBRIEF used in ORB to replace the floating-point descriptors of RTM, and compared the improved RTM algorithms with original RTM algorithm and SIFT based on simulated and actual binocular images. The results demonstrate that our algorithms greatly improve the speed as well as the precision and matching score. Furthermore, our algorithms can match additional points compared to SIFT and the original RTM when applied to structural scenes.