Computer Science ›› 2014, Vol. 41 ›› Issue (10): 36-41.doi: 10.11896/j.issn.1002-137X.2014.10.008

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CJPD:Coherent Junction Point Drift for Junction Points Set

LUO Ting-jin,ZHANG Jun,LIAN Lin,XU Shu-kui and LI Guo-hui   

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

Abstract: Junction is an important associate feature among the multi-sensor images and junction point set matching plays a key role of multi-sensor images registration.In this paper,coherent junction point drift for affine transformation (CJPD) was proposed.According to the inherent characteristic of junction,we defined the local structural consistency,which is used to measure the similarity between two junctions.What’s more,we introduced local structural consistency of junctions as a constraint of the posterior probabilities of GMM components.The added structural information improves the robustness of CJPD for noise and outliers and speeds up its convergence.We tested the CJPD algorithm for affine transformation in the presence of noise and outliers,where CJPD shows more accurate results and outperforms current state-of-the-art methods than CPD.

Key words: Image registration,Point set registration,CJPD,GMM,Local structural consistency

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