| 刘立,谭邦,肖建田.尺度不变特征点提取[J].南华大学学报(自然科学版),2009,23(1):85~88.[LIU Li1,2,TAN Bang1,XIAO Jian-tian1.Scale Invariant Feature Points Detection[J].Journal of University of South China(Science and Technology),2009,23(1):85~88.] |
| 尺度不变特征点提取 |
| Scale Invariant Feature Points Detection |
| 投稿时间：2008-12-08 |
| DOI： |
| 中文关键词: 金字塔匹配 尺度不变 Harris角点 高斯尺度 |
| 英文关键词:pyramid matching Scale invariant Harris corners Gaussian scale |
| 基金项目:国家自然科学基金资助项目（60475024）;航天技术创新基金资助项目（2006AA09Z203） |
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| 中文摘要: |
| 结合传统的角点检测算法,提出一种基于高斯金字塔匹配的尺度不变特征点提取算法PBSI,首先建立高斯金字塔,在每层图像中检测Harris角点,根据高斯尺度理论自上而下找到它们在不同层的对应点,所有层上都有的匹配点就是最终的尺度不变特征点.实验结果表明本文算法具有计算简单、抗噪声能力强、稳定性好的优点. |
| 英文摘要: |
| Combined with traditional corner detection algorithm,a scale-invariant feature extraction algorithm is presented based on Gaussian pyramid matching method(PBSI).After building Gaussian pyramid,the Harris corners is detected in each level.In order to find the counterparts of different level a pyramid matching method is taken top-down according to theory of Gaussian scale.The corners can be found in each level is the final feature points.The results show that the algorithm has low computation cost,strong anti-noise capability and good stability. |
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