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基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现,对全面深入理解Lowe的SIFT算法有莫大帮助。-OPENCV based SIFT feature extraction and matching algorithms. Extracted from the image Gaussian pyramid, DOG, space extremum point contains a complet
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基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现,对全面深入理解Lowe的SIFT算法有莫大帮助。-OPENCV based SIFT feature extraction and matching algorithms. Extracted from the image Gaussian pyramid, DOG, space extremum point contains a complet
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基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述。-OPENCV based SIFT feature extraction and matching algorithms. Extracted from the image Gaussian pyramid, DOG, space extremum point contains a complete descr iption of key points.
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用于立体图像矫正:Harries角点、NCC匹配、RANSAC计算基本矩阵完成立体图像对的极线校正,自己书写的opencv函数-For three-dimensional image correction: Harries corner NCC matching, RANSAC calculation of the completion of the fundamental matrix the epipolar rectification of the stereo image pairs o
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opencv中提供的函数做图像特征点提取及匹配,-function in opencv to do image feature point extraction and matching
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基于Visualc++ opencv实现图像的模板匹配-++ Opencv to achieve image template matching based on Visual
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利用OpenCV的库,实现基于SIFT的特征检测和匹配,匹配好两个图像的同一物体,并在第二张图像上框出来第一个图像中的物体-Using OpenCV library that implements the SIFT-based feature detection and matching, matching two images of the same object is good, and in the second picture on the box out of the first ob
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OpenCv ORB算法 特征点匹配 模板图片跟视频进行匹配-OpenCv ORB feature point matching algorithm with the video image template matching
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实现OpenCV、OpenGL、VS2008混合编程,输入校正后的图像对,使用立体匹配算法计算其视差图,最后用OpenGL进行三维重建-Achieve OpenCV, OpenGL, VS2008 mixed programming, enter the corrected image right, using stereo matching algorithm to calculate the disparity map, the final three-dimensional reconst
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在VC6.0编译平台下,并加载Opencv头文件与库文件。本程序成功启动后能够自动完成立体影像的特征检测、描述与匹配。-In VC6.0 compiler platform, and load Opencv header files and library files. After the successful launch of this program can be completed automatically dimensional image feature detection, de
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视频帧提取,基于opencv的开发,vs2010开发环境-Image template matching
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视频图像的人群密度检测,多种人群密度场景下人群计数算法:
算法功能:建立图像特征和图像人数的数学关系
算法输入:训练样本图像1,2…K
算法输出:模型估计参数 ,参考图像
算法流程:1)对训练样本图像进行分块处理(算法1.1);
2)通过算法1.2,计算训练样本各个对应分块的ALBP特征归一化,再用K-means算法(可使用opencv等算法库实现,不再描述其算法),将图像块分成k(k<K)类,获取k(k<K)个聚类中心,即为参考图像;
3)对分块的图像进行与
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利用opencv实现的运动补偿,首先进行角点检测,然后进行角点匹配,最后根据两幅图像的匹配角点进行仿射变换获得补偿后的图像-implement motion compensation using Opencv, firstly, corners are detected on two images, and then the corners of two images are matched, the last image after affine transformation compensa
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基于窗口的稀疏点匹配及三维重建,其中利用了图像校正,及Opencv中的相关函数和类库-Based on sparse point matching and reconstruction of the window, where the use of the image correction, and Opencv relevant functions and libraries
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自己写的使用opencv对图像进行harris角点特征提取,可用于特征匹配-Use the image opencv harris corner detection, feature matching can be used
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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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在立体标定的基础上,对OpenCV中涉及的两种立体匹配算法进行了实现。最后生成视差图像。-Based on the stereo calibration, two kinds of stereo matching algorithms in OpenCV are implemented . Finally, the disparity image is generated.
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利用opencv开源视觉库,对图像进行识别匹配,从很多张图像中找出待匹配的图像并返回其名称-Using the opencv open source visual library, the image recognition and matching, many images to find the image to be matched and return the name
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运用Opencv库函数,实现图像的特征点提取,特征点描述以及图像匹配。-Opencv use library functions to achieve the image feature point extraction, feature point matching descr iption and image.
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使用opencv完成图像拼接,使用suaf特征点匹配;
有详细的中文注释;
有中间过程(画出特征点、特征点匹配、旋转、曝光修正等);
VS2012工程,使用的是opencv2.4.11;
注意重新配置工程关于opencv的信息;-Use opencv complete image stitching, using suaf matching feature points a detailed Chinese annotation an intermediate process
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