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- W2348658936 abstract "A novel corner matching algorithm based on principal direction and cross correlation was proposed to solve the rotation problem between two images. The principal direction was determined with constructed gradient histogram of each corner region. In the matching process,the polar line constraint was utilized to achieve the candidate matching corners. The algorithm estabilished the left-neighbor and right-neighbor window between to-be matching corners and candidate matching corners,and rotated the right-neighbor window according to the corner′s principal direction. Then the cross correlation coefficient was computed to confirm the matched corners. At last,the relaxation technique was used to remove the false matches. This algorithm applied the classic cross correlation in stereo images matching which contained large rotation and translation,and it overcame the disadvantage that the traditional correlation method didn′t deal with the large rotation image matching. The experimental results show that this algorithm is stable,reliable,fast,and also has the practical value." @default.
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- W2348658936 date "2008-01-01" @default.
- W2348658936 modified "2023-09-26" @default.
- W2348658936 title "Novel corner matching algorithm based on rotational invariants" @default.
- W2348658936 hasPublicationYear "2008" @default.
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