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K-d tree space search
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K-d tree (short for k-dimensional tree), is a division of k-dimensional data space data structure. Mainly used in multidimensional space of critical data search (for example: scope searches and nearest neighbor search). Feature point matching when using k-d tree.
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Sift documents, papers and programs
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Sift, scale invariant feature transform (SIFT), is a descriptor used in the field of image processing. This description is scale invariant and can detect key points in the image. It is a local descriptor.
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Image registration and mosaic
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Online search for a picture of the example of the Harris corner extraction, NCC coarse matching, RANSAC matching precision, plus follow-up image processing fusion, and ultimately achieve stitching, easy to understand
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