| 基于Harris和几何哈希法的目标匹配 |
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| 引用本文： | 周陈龙,胡福乔.基于Harris和几何哈希法的目标匹配[J].计算机工程,2013(11):205-208. |
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| 作者姓名： | 周陈龙 胡福乔 |
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| 作者单位： | 上海交通大学自动化系系统控制与信息处理教育部重点实验室,上海200240 |
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| 基金项目： | 国家自然科学基金资助项目（61175009） |
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| 摘 要： | 复杂环境下的目标匹配会受到物体缩放、旋转、遮挡及光强变化等影响，是模式识别领域的一项难题。针对该问题，提出一种基于Harris算法和改进几何哈希法的目标匹配方法。利用Harris角点提取算法检测兴趣点，通过改进的几何哈希法实现多目标匹配。实验结果表明，该方法可实现复杂环境下的目标匹配，提高匹配精度和速度。
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| 关 键 词： | 目标匹配 Harris算法 几何哈希法 仿射不变性 尺度不变特征变换 |
Objects Matching Based on Harris and Geometric Hashing Algorithm |
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| ZHOU Chen-long,HU Fu-qiao.Objects Matching Based on Harris and Geometric Hashing Algorithm[J].Computer Engineering,2013(11):205-208. |
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| Authors: | ZHOU Chen-long HU Fu-qiao |
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| Affiliation: | (Key Laboratory of System Control and Information Processing, Ministry of Education, Department of Automation, Shanghai Jiaotong University, Shanghai 200240, China) |
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| Abstract: | It is a very important but also a tough issue to matching objects in the field of pattern recognition as objects may be influenced by themselves such as scale, rotation, obstacle and also intensity change in the process of recognition. In allusion to this problem, an object matching method based on Harris algorithm and geometric Hash algorithm is proposed. The extraction of interested point features combined with the structure information of geometric Hash algorithm is used. Experimental results show that not only it is possible for this method to match complex objects, but also the accuracy and speed are increased. |
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| Keywords: | objects matching Harris algorithm geometric Hash algorithm affine invariant Scale Invariant Feature Transform（SIFT） |
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