Computer Science ›› 2014, Vol. 41 ›› Issue (11): 291-296.doi: 10.11896/j.issn.1002-137X.2014.11.057

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Feature Points Processing Strategies Based on Local Symmetry and its Application

GUO Yi-chao,LI Qing-yong,SUN Jin-rui,HUANG Ya-ping and TIAN Mei   

  • Online:2018-11-14 Published:2018-11-14

Abstract: In the image retrieval framework based on Bag of Words (BoW) model,images usually contain a large number of SIFT feature points whose features are not strong enough and have influence on the efficiency and performance of the image retrieval system.Based on properties of SIFT feature points and principle of visual saliency,this paper proposed a local symmetry measure method for SIFT feature points,and embedded two symmetry processing strategies in the BoW image retrieval framework:filtering method and weighting strategy.The experimental results on the Oxford Buildings dataset show that the selection strategy of SIFT feature points based on symmetry can effectively improve the performance of image retrieval systems.

Key words: Symmetry,Image retrieval,Saliency,SIFT feature points

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