Abstract
Along with the widespread use of IT techniques, the requirements for CBIR (Content-Based Image Retrieval) is attractive for researchers from diverse areas. CBIR’s challenge is still how to ensure the meaningfulness of the retrieved images, for which the geometric consistency should be considered. And RANSAC and its variants are popular in the post-verification stage for that. This paper presents a Delaunay triangulation (DT) based method for that, some properties of which ensure its stability to capture the local structures. By converting the geometric verification into DT mapping, our method could not only catch invariant local structure points, but also is much more efficient (\(O(Nlog(N))\)). We evaluate our approach on common image benchmark and demonstrate its effectiveness for image geometric verification problem.
L.-B. Kong — This work was supported by the China Fundamental Research Funds for the Central Universities under Grant No.2011JBM320, and the National Natural Science Foundation of China (NSFC) under Grant No.61272353.
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Kong, LB., Kong, LH., Yang, T., Lu, W. (2015). A Fast and Effective Image Geometric Verification Method for Efficient CBIR. In: Sharaf, M., Cheema, M., Qi, J. (eds) Databases Theory and Applications. ADC 2015. Lecture Notes in Computer Science(), vol 9093. Springer, Cham. https://doi.org/10.1007/978-3-319-19548-3_19
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