6 July 2015 Research of image matching algorithm based on local features
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Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 96310M (2015) https://doi.org/10.1117/12.2197153
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States
Abstract
For the problem of low efficiency in SIFT algorithm while using exhaustive method to search the nearest neighbor and next nearest neighbor of feature points, this paper introduces K-D tree algorithm, to index the feature points extracted in database images according to the tree structure, at the same time, using the concept of a weighted priority, further improves the algorithm, to further enhance the efficiency of feature matching.
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Wei Sun, Wei Sun, } "Research of image matching algorithm based on local features", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96310M (6 July 2015); doi: 10.1117/12.2197153; https://doi.org/10.1117/12.2197153
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