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ransac，随机抽样一致性算法，应用在图像处理特征点匹配中。,ransac, random sample of the consistency algorithm used in image processing feature point matching.
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ransac是常用的稳健计算机视觉的方法，可用于两幅影像的配准.-RANSAC is a commonly used method of robust computer vision, two images can be used for registration.
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SIFT特征提取演算法(包含匹配以及除错机制RANSAC)-可用于两张影像之特征点匹配
-SIFT feature extraction algorithm (including the match, as well as debug mechanisms RANSAC)- can be used for two images of the feature points matching
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(1) 读取n副连续有重叠部分的图像，在n副图像中检测SIFT特征，并用SIFT
特征描述子对其进行描述。
(2) 匹配相邻图像的特征点，并根据特征点向量消除误匹配。
(3) 使用RANSAC方法，确定变换参数。
(4) 图像融合
-(1) Read n successive overlapping sub-part of the image, the image of the n sub-SIFT features detected and characterized us
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多幅图像拼接matlab实现 sift特征提取、描述、匹配、RANSAC、仿射变换(Multiple image mosaics, MATLAB, SIFT feature extraction, descr iption, matching, RANSAC, affine transformation)
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利用sift算法提取两张图像的特征点，利用ransac去除误匹配，最后将两张图片拼接在一起(Using sift algorithm to extract the two feature points of the image, the use of ransac to remove the wrong match, and finally the two pictures together)
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