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Speed Up Robust Feature Algorithm by OpenCV
it can detected specified image and matching
I adjust it to use a cam so it runs in real time
but I guess it doesn t look so fast,Speed Up Robust Feature Algorithm by OpenCV
it can detected spe
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Harris，FAST，Eigen 3种特征点提取方法的比较，开发平台是vs2005和opencv-Harris, FAST, Eigen 3 kinds of feature point extraction method comparison, the development platform is vs2005 and opencv
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基于FAST算法的特征点检测，基于opencv和vs2010-Based on the FAST algorithm of feature point detection, based on opencv and vs2010
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基于opencv，讲述关于SIFT、SURF、ORB、FREAK、FAST、BRIEF等方法用于图像的特征提取以及匹配之间的不同-Based on opencv, about SIFT, SURF, ORB, FREAK, FAST, and BRIEF, used for image feature extraction and matching between different
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首先使用FAST对图像进行特征点提取，之后生成ORB描述符，进行点特征匹配，可以达到快速精确配准-The first to use the image FAST feature point extraction, after generating ORB descr iptors were point feature matching, can achieve fast and accurate registration
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该算法基于opencv库，能够实现图像ORB角点检测，并实现图像匹配(ORB image key point detection algorithm, fast and efficient implementation of image feature point detection and matching)
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图像特征提取是计算机视觉和图像处理中的一个概念。它指的是使用计算机提取图像信息，决定每个图像的点是否属于一个图像特征。包括：Harris角点、ShiTomasi角点、亚像素级角点、SURF角点、Star关键点、FAST关键点、Lepetit关键点等等(Image feature extraction is a concept in computer vision and image processing. It refers to using a computer to extract imag
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ASMS仅依靠颜色特征的算法而且速度很快，在VOT2015是20名, 是VOT2015官方推荐的实时算法，平均帧率125FPS。在VOT2016是32名，整体属于中等水平。在经典mean-shift框架下加入了尺度估计，经典颜色直方图特征，加入了两个先验(尺度不剧变+可能偏最大)作为正则项，和反向尺度一致性检查。在相关滤波和深度学习盛行的年代，还能看到mean-shift打榜还有如此高的性价比实在不容易。环境：WIN8.1 64位 +Visual Studio 2015 +OpenCV 3.3.
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