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- W2375624574 abstract "Image correspondence is a key problem in computer vision.Although many matching technique in short-baseline have been developed,the wide-baseline correspondence problem with large scale,rotation,illumination and affine transformations is still not tackled very well.The paper proposed a new SVD matching method to achieve large number of accurate point correspondences between uncalibrated image sequences of the same scene for wide baseline.Normalized cross correlation between scale and rotation invariant features was introduced and the proximity matrix was redefined to improve the performance of robustness and reliability.Experimental results show that the proposed SVD matching method can be used for severe scene variations and provide evidence of improved performance with respect to the SIFT distance matcher and the previous SVD matching algorithm." @default.
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- W2375624574 date "2009-01-01" @default.
- W2375624574 modified "2023-09-23" @default.
- W2375624574 title "Wide-baseline Image Correspondence Based on Scale and Rotation Invariant Feature" @default.
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