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基于非参数边缘积分估计的局部特征描述子

郑明国 吴成东 陈东岳 贾同 金勇虎

郑明国, 吴成东, 陈东岳, 等 . 基于非参数边缘积分估计的局部特征描述子[J]. 北京航空航天大学学报, 2016, 42(3): 497-505. doi: 10.13700/j.bh.1001-5965.2015.0156
引用本文: 郑明国, 吴成东, 陈东岳, 等 . 基于非参数边缘积分估计的局部特征描述子[J]. 北京航空航天大学学报, 2016, 42(3): 497-505. doi: 10.13700/j.bh.1001-5965.2015.0156
ZHENG Mingguo, WU Chengdong, CHEN Dongyue, et al. Local feature descriptor based on nonparametric marginal integration estimation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(3): 497-505. doi: 10.13700/j.bh.1001-5965.2015.0156(in Chinese)
Citation: ZHENG Mingguo, WU Chengdong, CHEN Dongyue, et al. Local feature descriptor based on nonparametric marginal integration estimation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(3): 497-505. doi: 10.13700/j.bh.1001-5965.2015.0156(in Chinese)

基于非参数边缘积分估计的局部特征描述子

doi: 10.13700/j.bh.1001-5965.2015.0156
基金项目: 国家自然科学基金(61273078)
详细信息
    作者简介:

    郑明国 男,博士研究生。主要研究方向:视觉导航、模式识别、数字信号处理。Tel.:024-83687415 E-mail:15840514543@163.com;吴成东 男,博士,教授,博士生导师。主要研究方向:图像智能处理、机器人智能导航。Tel.:024-83687146 E-mail:wuchengdong@ise.neu.edu.cn

    通讯作者:

    吴成东,Tel.:024-83687146 E-mail:wuchengdong@ise.neu.edu.cn

  • 中图分类号: V249.32+5;TP391.4

Local feature descriptor based on nonparametric marginal integration estimation

Funds: National Natural Science Foundation of China (61273078)
  • 摘要: 为提高图像匹配性能提出了关于局部区域特征描述子的统计模型。该模型是一种基于梯度模值及方向分布的边缘积分函数模型。在离散梯度方向的边缘积分函数与梯度矢量场的模值累积方向直方图相同。采用基于核函数的非参数估计,估计了该函数,应用于尺度不变特征变换(SIFT)描述子。为了提高描述子的旋转不变性、独特性,降低运算复杂度,将特征点周围的局部区域作为圆形,由径向采样网格划分为8个子区域。在每个子区域估计边缘积分函数,特征向量由每个小块8个方向的函数值组成。实验表明,该描述子能够提高旋转变换的检测率(查全率),降低运算复杂度。

     

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  • 被引次数: 0
出版历程
  • 收稿日期:  2015-03-19
  • 刊出日期:  2016-03-20

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