A new method based on adaptive Hessian matrix threshold of finding key SRUF( speeded up robust features) features is proposed and is applied to an unmanned vehicle for its dynamic object recognition and guided navigation. First,the object recognition algorithm based on SURF feature matching for unmanned vehicle guided navigation is introduced. Then,the standard local invariant feature extraction algorithm SRUF is analyzed,the Hessian Metrix is especially discussed,and a method of adaptive Hessian threshold ...
【英文摘要】
A new method based on adaptive Hessian matrix threshold of finding key SRUF( speeded up robust features) features is proposed and is applied to an unmanned vehicle for its dynamic object recognition and guided navigation. First,the object recognition algorithm based on SURF feature matching for unmanned vehicle guided navigation is introduced. Then,the standard local invariant feature extraction algorithm SRUF is analyzed,the Hessian Metrix is especially discussed,and a method of adaptive Hessian threshold ...
【基金】
Supported by the National Natural Science Foundation of China(61103157);
Beijing Municipal Education Commission Project(SQKM201311417010)
【更新日期】
2015-04-17
【分类号】
TP391.41
【正文快照】
Received 2013-09-20Author for correspondence,professor,Ph.D.E-mail:wangjz@bit.edu.cnImage feature matching is the core technology ofreal-time vision system for image guidance,robot visionnavigation.In this type of application,feature extractionand match
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