Abstract For SIFT(Scale Invariant Feature Transform) has poor real-time and low match rate problem in large-scale image registration, a improved registration algorithm based on SIFT algorithm is proposed in this paper, which down-sample the large-scale image with Cubic interpolation algorithm, and under the restriction that the minimum size of down-sampling image should be meet image registration requirement. We can calculate the transformation matrix of down-sampling image with SIFT algorithm, and then we can get transformation matrix of original large-scale image through the relationship of transformation matrix between down-sampling image and original image, so the registration of large-scale image can be got more rapidly. The experiment results show the effectiveness and feasibility of the proposed method.


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    Title :

    Research on Novel Optimization SIFT Algorithm Based Fast Mosaic Method


    Contributors:


    Publication date :

    2014-01-01


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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