搜索资源列表
PeopleDensitydll
- 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
ImageMatching
- 通过调用opencv数据库中的函数，实现图像的匹配。-Through function calls in the opencv , to achieve image matching.
Template-Matching
- 使用opencv给出的函数进行模板匹配，给出一幅图像及目标模板，在图像中找出模板所在区域。-Using the function given by opencv for template matching, the target template is given an image , to identify the template location in the image
surf-and-Homography-decomposition
- 使用opencv，首先提取两幅图像的surf特征点，然后匹配，求单应矩阵，然后分解得到旋转角度。保证可用，走过路过不要错过。-Using opencv, first extracting feature points of the two images of the surf, and then matching, seeking homography, then decomposition rotation. Guarantee is available, do not miss passin
movImageProcessOpencv
- 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
sift
- sift算法匹配图像特征点（opencv）-sift algorithm for image matching feature points (opencv)
123456
- 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
face-detect
- 在安卓NDK下实现了图像的sift检测，可以圈出特征点，并且能够匹配二幅图像，需要opencv库支持。-In the android to realize the image under the NDK sift detection, can circle the feature points, and the ability to match two images, need opencv library support.
opencvharris
- 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
RobustMatch
- 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
image-match
- 基于opencv，直方图匹配，找到目标图像与模板图像直方图匹配的区域并标出坐标，方法为反向块搜索-Based on opencv, histogram matching, to find the target image and the template image histogram matching and mark the coordinates of the area, the method of reverse block search
SIFT-HARRIS-Gaussian
- OPENCV实现sift目标识别匹配，harris，sift算子焦点检测与高斯法图像分割，vs2013-OPENCV achieve sift target identification match, harris, sift operator focus detection and image segmentation Gauss law, vs2013
StereoMatch
- 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.
test
- 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
SIFTandSURF
- 基于OpenCV，VS2010的环境下，通过SIFT或SURF算法提取物体（此处为象棋）的特征，两张图像的特征进行匹配，匹配点多则认为是同一图像。电脑系统是WIN7，x64。假如是其他版本系统简要配置一下OpenCV环境就可以使用。-Determine the objects are same or not based on OpenCV.
FaceMatch
- 基于Opencv库实现人脸特征的匹配.过建立黑白模板实现对不规则区域图像的仿射变换.-this program is written for the match about the human face features when I was as intern in Sony （China）research institute
templateMatch-SURF
- 使用opencv检测图像特征，并进行特征点的匹配。输入两幅图像，得到特征参数-Using opencv image feature detection and matching feature points. Two input image characteristic parameter obtained
Suaf-stitch
- 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
Cut Image
- 基于opencv做的图像切割，匹配。适合初学者使用。
SIFTVC6
- 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-SIFT feature extraction and matching algorithm based on OPENCV. Contains the full the image of Gauss Pyramid, DOG, space extreme point extraction, key points descr iption, K