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3下载:
利用opencv实现的快速模板匹配算法 Fast Template Matching Algorithm,提供Demo图像-use opencv achieve rapid template matching algorithm Fast Template Match ing Algorithm for Image Demo
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Image alignment is a process of matching one image called template (let s denote it as T) and another image I (see fig. 1). There are many applications of image alignment, such as tracking objects on video, motion analysis and many other tasks of com
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vc++和OpenCV结合找出图片中的角点,并且做出标记。此程序同时可以用于图片特征点的提取,用于特征匹配的后续开发做准备。-vc++ and OpenCV combination to find the picture of the corner and make a tag. At the same time, this procedure can be used for image feature points extraction, feature matching for the fo
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利用OPenCV里面的模板匹配函数来搜索图像中的定位.-Template matching using OPenCV function inside to search for image location.
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Opencv写的模板匹配程序,可以在一幅大图中搜索其中的一部分图像。-Search part of the image the Opencv write template matching program, you can in a big figure.
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使用OpenCV做的一个人脸检索系统,包括实现了静态图片的人脸检测,以及视频流中的人脸检测,和人脸匹配,实现了视屏播放,在视频中快速检索需要寻找的人脸目标-Using OpenCV to do a face retrieval system, including the realization of the static image of face detection and video streaming in face detection and face matching, to achi
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Visual C++ 6.0平台基于OpenCV的SURF图像特征点的检测和匹配源代码,能正确的实现图像特征点的检测和匹配功能,对研究图像特征点匹配非常有帮助。-The Visual C++ 6.0 platform is based on OpenCV SURF image feature points detection and matching of source code, can correct the image feature point detection and matchin
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一个基于八点法和平面法校正的立体匹配程序,用OpenCV实现,能够实现两副平移图片的立体匹配。-One based on the eight law and plane calibration method of three-dimensional matching program using OpenCV, to achieve the matching of the two pan across the image.
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基于opencv的数字图像处理 手型识别 模板匹配-Based on the hand type of digital image processing opencv recognition template matching
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针对基于自适应光学技术的人眼眼底待拼接图像灰度、清晰度不一致以及细节的差异使检测出的角点无法匹配,进而导致图像不能拼接的问题,提出一种在OpenCV配置环境下角点检测的基础上,进行角点匹配的新方法-Adaptive optics for the human eye fundus to be gray stitching, inconsistent, and details of the differences in definition so that the detected corners
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用openCV开发的角点检测程序源码,其中第一个角点检测是从一缓冲区读入到图像,转换成IplImaage后检测出角点;第二个角点检测函数是检测两副图像的角点,以便于进行匹配等运算操作。 可直接使用。
-With the the corner detection openCV development program source code, which after the first corner detection is read from the buffer into the image
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利用OpenCV中的模板匹配来匹配配模板和图片,找出图片中含有的模板图像
-Template matching in OpenCV to match with the template and pictures to identify the picture contains the template image
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快速的图像模板匹配代码,很辛苦找到到的,属于Opencv的,共享给大家了
-Fast image template matching code, very hard to find, belongs Opencv shared with everyone
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双目视觉,双目图像测距,双目图像校正,对其,匹配(Binocular vision, binocular image ranging, binocular image correction, matching)
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Matching Pursuit and orthogonal matching pursuit, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, A relatively before correction and after correction PMUSIC.
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本程序用于图像拼接,使用了SIFT特征点匹配,加上了加权融合算法去除了明暗接缝(This program is used for image stitching, using SIFT feature point matching and adding a weighted fusion algorithm to remove the bright and dark seams)
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调用opencv库中的SIFT算法实现图像的匹配和分类(Call opencv library SIFT algorithm to achieve image matching and classification)
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电脑模拟按键实现微信跳一跳自动跳跃。首先就是在上传的autojump.png图片上进行模板匹配,匹配出小人,并计算小人的坐标;如上图所示,框出来的用红色箭头所指即为小人的坐标! 然后就是通过Canny()函数进行图像的边缘检测,这里使用的阈值为5,10基本可以检测出所有边缘信息(Computer simulation keys to achieve WeChat jump one jump automatically. First of all, template matching is per
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基于SURF的图像拼接,全景图像筛选特征点,进行匹配刷选转换(Image mosaic based on SURF panoramic image filtering feature points matching selection switch)
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视觉slam十四讲,程序资料:g2o优化、cere拟合、特征点提取与匹配、点云拼接、opencv图像读取(Visual slam 14, program data: g2o optimization, cere fitting, feature point extraction and matching, point cloud mosaic, OpenCV image reading)
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