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.
Research on Novel Optimization SIFT Algorithm Based Fast Mosaic Method
01.01.2014
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Research on Novel Optimization SIFT Algorithm Based Fast Mosaic Method
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