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- W133823448 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." @default.
- W133823448 created "2016-06-24" @default.
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- W133823448 date "2014-01-01" @default.
- W133823448 modified "2023-09-27" @default.
- W133823448 title "Research on Novel Optimization SIFT Algorithm Based Fast Mosaic Method" @default.
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- W133823448 doi "https://doi.org/10.1007/978-3-662-45283-7_3" @default.
- W133823448 hasPublicationYear "2014" @default.
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