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一种快速提高图像特征匹配算法

Rapid Increase Image Feature Matching Method

中文摘要英文摘要

在不同的环境背景下,由于光照,尺度变化等影响,同一个物体的特征匹配造成了诸多的影响。采用经典的SIFT算法很好的克服光照,旋转,尺度等影响下的匹配不变性。为了提高特征匹配效率,本文采用一种改进的SIFT算法,分别在生成同心圆并加以约束条件特征描述符和使用双向匹配方式同分析原有经典算法基础上做了改进。通过实验证明,在利用同心圆生成特征描述符有效减小匹配时间并且改进的匹配方式提高匹配正确率在保证算法稳定性同时,有效的提高特征匹配效率

In a different environment of background, due to the affection of illumination, scale, etc, the feature matching of the same object caused a lot of affection. Using classical SIFT algorithm is effective overcome the affection of illumination, rotation, scale,etc. In order to improve the effective of feature matching, this paper adopt an improved SIFT algorithm. The improved way is that creating feature descriptor with constraint conditions in generate the concentric circles and adapt bidirectional matching in the basis of analysis original classical algorithm. Through the experiment proved. In adapting the concentric circles to generate feature descriptor matching to effective reduce the matching time and improve matching accuracy in guarantee algorithm stability at the same time. Effectively improve the efficiency of feature matching.?????

禹铁夫、张秋豪、齐安智、刘洋

电子技术应用

图像处理特征匹配SIFT约束条件双向匹配?????

Image processingFeature matchingSIFTonstraint conditionsBidirectional matching

禹铁夫,张秋豪,齐安智,刘洋.一种快速提高图像特征匹配算法[EB/OL].(2014-09-22)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201409-274.点此复制

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