Paper
6 July 2015 Research of image matching algorithm based on local features
Author Affiliations +
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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); https://doi.org/10.1117/12.2197153
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KEYWORDS
Feature extraction

Digital image processing

Image processing

Image enhancement

Detection and tracking algorithms

Image compression

Algorithm development

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