Details

Autor(en) / Beteiligte

• Huo, Haili
• Zhou, Mengzhe
• Zhao, Fei
• Qu, Xiujie
• Wang, Wuhong

Titel

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

Ist Teil von

• Mathematical problems in engineering, 2014-01, Vol.2014 (2014), p.1-7

Ort / Verlag

Cairo, Egypt: Hindawi Puplishing Corporation

Erscheinungsjahr

2014

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• 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.