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- W2390345258 abstract "The homography between corresponding matching windows can be approximated by an affine model.Traditional optical flow based iterative methods can track feature points in video sequence accurately,but good initial parameters must be provided,and it is impossible to apply such methods to wide baseline images mechanically.In this paper,meaning of the four parameters of affine model was given first,and then the affine matrix is decomposed into a similar matrix and a rotated quasi-identity matrix,which uses a similar model followed by an affine model using iterative optimal method.Since the search of initial rotation of corresponding matching windows is non- linear,this paper proposes a fast method based on alignment of the fastest descend directions of intensity(FDDI)within corresponding matching windows in the un-guide stage,and a fast method based on alignment of corresponding epipolar lines(CEL),which not only give good initial parameters,but speed up the algorithm.After getting the optimal affine parameters,the location error of corresponding feature points were compensated,and the deformations of corresponding feature windows were rectified.Results of real test images were given,which strongly demonstrate the feasibility and accuracy our method." @default.
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- W2390345258 date "2007-01-01" @default.
- W2390345258 modified "2023-09-23" @default.
- W2390345258 title "Wide Baseline Matching based on Affine Iterative Method" @default.
- W2390345258 hasPublicationYear "2007" @default.
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