Binary description and matching method of image feature points based on point group comparison strategy
A technology of image feature points and binary description, which is applied in the directions of instrumentation, calculation, character and pattern recognition, etc., and can solve problems such as single pixel instability
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[0019] Such as figure 1 Shown is the image feature point binary description and matching method flow chart based on the point group comparison strategy of the present invention, which mainly includes the following steps: collecting images and performing preprocessing, using SIFT or Harris corner detection algorithm to extract the two images respectively Feature points, determine the feature point support area and calculate the main direction of the feature point, select 32 sampling points in the feature point support area, determine 144 sets of sampling point pairs in the feature point support area, and perform binarization processing based on the point group comparison strategy 1. Construct the binary feature descriptor of the feature point, and use the NNDR criterion to match the feature point based on the binary feature descriptor. The specific implementation details of each step are as follows:
[0020] Step S1: collecting images and performing preprocessing, specifically...
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