RBFD: 一种鲁棒的图像局部二值特征描述子

Geng Lichuan 已出版文章查询
Geng Lichuan
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1 Cheng Yun 已出版文章查询
Cheng Yun
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2 Su Songzhi 已出版文章查询
Su Songzhi
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3 Lin Xianming 已出版文章查询
Lin Xianming
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3 Li Shaozi 已出版文章查询
Li Shaozi
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1School of Information Science and Technology,Xiamen University,Xiamen 361005;School of Urban Planning Landscaping, Xuchang University,Xuchang 461000

2Department of Communication and Control Engineering,Hunan University of Humanities,Science and Technology,Loudi 417000

3School of Information Science and Technology,Xiamen University,Xiamen 361005;Fujian Key Laboratory of the Brain-like Intelligent Systems Xiamen University ,Xiamen 361005


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针对传统浮点型特征描述子占用空间大、匹配速度慢的问题, 提出一种基于梯度统计信息比较的局部二值特征描述子. 通过对比特征点邻域梯度统计信息生成二值特征描述子, 再利用多邻域和多分块策略提高描述子判别力, 最后通过近似简化的 AdaBoost 算法实现描述子降维. 实验结果表明, 与已有描述子相比, 文中提出的描述子在实现快速生成的同时其鲁棒性更强.

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语种: 中文   

基金国家自然科学基金(61373076, 61202143)

关键词局部特征 二值特征描述子 图像匹配


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