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自己写的两副图像的特征点匹配，其中用了opencv类库，功能包括：特征点的亚像素精度检测，特征点初始匹配，基本矩阵计算及对极约束引导匹配等。-himself wrote the two images and matching feature points, which used the OpenCV library, features include : the feature points subpixel accuracy testing, the initial matching feat
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自己用matlab写的sift特征点检测与匹配程序，运行能通过,Matlab write themselves sift feature points detection and matching program, run through
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sift算法，纯c语言实现，运行环境vc6.0，对两幅图片进行特征提取和匹配！-sift algorithm, pure c language, operating environment vc6.0, pictures of the two feature extraction and matching!
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基于SIFT的图像配准程序
SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力,SIFT-based image registration procedure is the SIFT feature matching algorithm for matching feature points at home and abroad a hot
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feature extraction and matching algorithm
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Using C + + language of the PCA-SIFT algorithm, can be used for visual odometer feature extraction and matching results with good match
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颜色恒常性和sift特征算子相结合的算法，主要用于计算机视觉中的特征提取，匹配和识别等。-Characteristics of color constancy and sift algorithm combining operators, mainly for computer vision, feature extraction, matching and identification.
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提出了利用小波分解建立多分辨率图像锥和Hausdorff距离的医学图像配准方法。先利用小波方法建立多分辨率图像锥, 然后根据梯度向量幅度提取分层图像的特征点, 利用Hausdorff距离进行特征点集的匹配。该方法提高了配准的速度和精度, 而且具有鲁棒性。-Image registration is the matching processing in which two or more images match from the same scene derived from different
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对两帧图像进行ICM调试.包含内容：1估计姿态和摄像机内参数；2两幅图做四次金字塔；3利用输入特征点采用ransac算法估计姿态R, T。4sift特征匹配；5摄像机标定。-ICM images on two debugging. Contains: 1 Estimated posture and intrinsic parameters 2 two plans to do four pyramids 3 using the input feature points using ransac
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