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A Novel Fast and Robust Binary Affine Invariant Descriptor for Image Matching

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  • Xiujie Qu
  • Fei Zhao
  • Mengzhe Zhou
  • Haili Huo

Abstract

As the current binary descriptors have disadvantages of high computational complexity, no affine invariance, and the high false matching rate with viewpoint changes, a new binary affine invariant descriptor, called BAND, is proposed. Different from other descriptors, BAND has an irregular pattern, which is based on local affine invariant region surrounding a feature point, and it has five orientations, which are obtained by LBP effectively. Ultimately, a 256 bits binary string is computed by simple random sampling pattern. Experimental results demonstrate that BAND has a good matching result in the conditions of rotating, image zooming, noising, lighting, and small-scale perspective transformation. It has better matching performance compared with current mainstream descriptors, while it costs less time.

Suggested Citation

  • Xiujie Qu & Fei Zhao & Mengzhe Zhou & Haili Huo, 2014. "A Novel Fast and Robust Binary Affine Invariant Descriptor for Image Matching," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, March.
    • Handle: RePEc:hin:jnlmpe:129230
    DOI: 10.1155/2014/129230
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