吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (1): 265-270.doi: 10.13229/j.cnki.jdxbgxb201601040

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Spatial verification method based on local regional constraint

ZHAO Hong-wei1, 2, LI Qing-liang1, TANG Huan-yu1, ZANG Xue-bai1   

  1. 1.College of Computer Science and Technology, Jilin University, Changchun 130012,China;
    2.Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China
  • Received:2015-03-06 Online:2016-01-30 Published:2016-01-30

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Abstract: A Spatial Verification method based on Local Regional Constraints (SVLRC) is developed to remove false positive matches. First, the local region range of a center match pair is calculated. Then, the constraint value of the centre matches is defined according to the number of other matches in the local regions and whether the center match pairs satisfy the condition of local region constraint is judged. If the condition is met, whether all the matches in the local regions follow consistent geometric transformation is estimated based on geometric order. Extensive experiments demonstrate that the SVLRC can improve the retrieval accuracy significantly with low computation cost.

Key words: computer application, image retrieval, Bag of Words model, local regions, spatial constraint, post-processing

CLC Number: 

  • TP391.41
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