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基于角点特征的近景影像匹配算法 被引量:1

FEATURE BASED IMAGE MATCHING ALGORITHM FOR CLOSE-RANGE IMAGERY
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摘要 利用了改进的Harris特征点提取算子从原始立体像对提取一系列特征点,采用了自适应三角形约束下的影像匹配方法进行近景影像匹配,试验结果表明其具有良好的可靠性。 Based on the characteristics of close-range imagery, this paper proposes a new image matching algorithm by using the improved Harris detector to extract the feature points from original images, then integrates the triangle constraint with the conventional epipolar geometric constraint. The experimental result proves that this algorithm is more reliable than existing method.
出处 《测绘信息与工程》 2006年第4期40-42,共3页 Journal of Geomatics
基金 武汉大学优秀博士学位论文基金资助项目(2005 吴波)
关键词 摄影测量 影像匹配 特征点提取 三角形约束 photogrammetry image matching feature point detector delaunay triangle
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