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SSDA序贯相似性检测方法对图像进行模板匹配。从源图像中取小图，再到源图像中找到小图所处的位置。-SSDA sequential similarity detection method of the image template matching. Source image taken from the small map, to find a small map the source image position.
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基于opencv的图像匹配算法。可以使用鼠标喧杂要匹配的对象。然后进行匹配计算。-Opencv-based image matching algorithm. Xuanza can use the mouse to match the object. Then the matching calculation.
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opencv 实现双目立体视觉的标定，图像特征匹配，测距工能。-opencv calibration to achieve binocular stereo vision, image feature matching, distance work can be.
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基于opencv的密集点匹配程序，运用C++语言实现-Sparse point matching and reconstruction (no image correction)
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基于opencv的稀疏点匹配与重建（无图像校正）-Sparse point matching and reconstruction (no image correction)
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本程序分割试图，并基于OpenCv显示左右影像，影像匹配为最简单的差绝对值和的方法，精度一般，但是大体的思路很清晰，注释很详细，很适合初学者掌握整个流程。-This procedure attempts to split, OpenCv show about image, image matching for the most simple difference between the absolute value of the method, the general accuracy, but
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opencv 轮廓提取和模板匹配,可以从目标图像中找出要匹配的小图片部位-opencv contour extraction and template matching, you can find out from the target image to match the small image parts
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一种基于OpenCV的图像匹配程序源码，可达到亚象素，，对图像匹配有非常大的帮助！ 可直接使用。 已通过测试。
-OpenCV-based image matching program source code, can achieve sub-pixel image matching, a very big help! Can be used directly. Has been tested.
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使用SSD（sum squared differences）算算法进行双摄像机图像匹配点计算，基于OpenCv的C++代码实现
-Use of the SSD (sum squared differences) numerical algorithm for the dual-camera image matching point calculation based the OpenCv of the C++ code
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本文在opencv环境下，以目标识别为中心，利用 SIFT 算法对图像进行局部特征的提
取和其算法稳定的特点，有效准确建立匹配关系。-Opencv environment, target recognition, SIFT algorithm for image local feature extraction and algorithm characteristics, effectively and accurately create a matching relationship.
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NCC和SSDA算法的图像匹配实现，图片的读取用opencv实现，算法是纯C++代码。-The NCC and SSDA image matching algorithm to achieve the picture read with opencv algorithm pure C++ code.
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opencv匹配,拼接代码,里面用了比较好的算法,能够实现图象匹配,比较实用-opencv match splicing code, which spent the better algorithm can achieve the image matching, more practical
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在Opencv环境下实现SIFT图像匹配-Opencv environment SIFT image matching
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这个基于OpenCv的sift算法，很经典，适合初学者拿来学习，本代码能完成图像匹配功能，并有很好的抗噪能力。-This is sift based OpenCv the algorithm, very classic, suitable for beginners used to study the code to complete the image matching functionality, and good noise immunity.
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surf算法。opencv编程，可以用于目标特征检测、图像匹配等多方面应用-surf algorithms. opencv programming feature can be used for target detection, image matching, and many other applications
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基于OpenCV的图像匹配程序，可达到亚象素，对图像匹配有很大的帮助-OpenCV-based image matching procedure, can achieve sub-pixel of the image matching is very helpful
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opencv关于高斯混合模型的说明，可以应用在图像匹配等的领域，为图像处理提供很大方便。-Opencv on gaussian mixture model that can be applied in the field of image matching, etc, provides great convenience for image processing.
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sift算子在图像匹配与图像拼接三维重建中都有重要地位，这个程序没有使用opencv，原作者很不容易写出来的。在调试中会有少量问题，稍加调试就可调通 -sift operator in image matching and 3D reconstruction image mosaic has an important position, this program does not use opencv, the original author is not easy to write out.
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完成两幅图像的稀疏点的匹配和重建，C++的编程环境，opencv函数库-Do two sparse points matching and reconstruction of the image, c++ programming environment, opencv function library
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图像处理与计算机视觉算法及应用（Algorithms for Image Processing and Computer Vision）（第2版）的配套代码。基于OpenCV库-matching code for the book"Algorithms for Image Processing and Computer Vision".Based on OpenCV Library.
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