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Code of the paper "Game theoretic hypergraph matching for multi-source image correspondences". [论文代码] 超图匹配和多源图像特征点匹配。

License: MIT License

MATLAB 100.00%

hypergraph-matching's Introduction

Hypergraph Matching

image image image image

English Version | 中文版

This is a MATLAB implementation of the hypergraph matching algorithm for multi-source image correspondences.

This algorithm is published in the paper: Game theoretic hypergraph matching for multi-source image correspondences.

Dependency

  • sift win32

Execute siftWin32.exe software to install SIFT libraries on Windows system (32-bit/64-bit).

Usage

  1. Prepare several multi-source image pairs in a folder (e.g., images/).

  2. Set parameters (distRatio, imresizerate1 and imresizerate2) in run_matching.m (see comments).

  3. Run run_matching.m to match key points of multi-source image pairs via hypergraph matching algorithm.

Notes:

  • Tuning distRatio to a larger value in [0, 1] will generate more key points and lower the matching speed.

  • The reported running time does not include the establishment of hypergraphs and the calculation of edge weights.

Citation

Please cite the following paper if you used this implementation in your work.

@Article{zhang17hypergraphmatch,
  title      = {Game theoretic hypergraph matching for multi-source image correspondences},
  author     = {Zhang, He and Ren, Peng},
  journal    = {Pattern Recognition Letters},
  volume     = {87},
  pages      = {87--95},
  year       = {2017},
  publisher  = {Elsevier}
}

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