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SIFT_VC opencv下的图像sift特征提取以及匹配跟踪识别
- opencv下的图像sift特征提取以及匹配跟踪识别-opencv image under sift recognition feature extraction and matching track
SURF
- SURF算法的原文翻译，包括特征提取和特征匹配，加入了作者的一些理解-SURF translation of the original algorithm, including feature extraction and feature matching, adding some understanding of the author
Orb_OK
- 基于opencv 2.3.1的ORB特征提取算法的测试程序，效果还不错-Based on of opencv 2.3.1 ORB characteristics extraction algorithm testing procedures, the results were pretty good
sift-win-recompiled
- VC2010可用，SIFT特征提取，并做两个图片的匹配，最终输出匹配点。适用于Windows操作系统。-VC2010 is available, the SIFT feature extraction, and make the two images match, the final output of the matching point. Applies to the Windows operating system.
FaceRecog_src100902
- 基于OpenCV的人脸识别演示程序。目前实现了Gabor+Fisherface算法，还有几何和光照归一化。 -->请到 http://code.google.com/p/facerecog/ 下载最新版本。<-- 功能：对摄像头拍摄的或用户指定的图像，检测其中人脸，然后在已存储的人脸库中找到最匹配的人脸并显示。 在VS 2008 SP1上编写，使用了OpenCV 2.0和MFC，通过消息处理函数与用户进行交互，利用多线程来实时显示图像。 数据处理分为了C
sift
- 利用vc++中的opencv，写的sift特征提取程序，能顺利执行。-Using vc++ in opencv, write sift feature extraction procedure can be implemented smoothly.
SIFTFeatures
- opencv的sift特征提取，基于opencv2.1+visual studio 2010实现。-sift features extact by opencv 2.1+visual studio 2010
texture
- 多目标跟踪：利用gabor滤波器得到的纹理信息进行特征提取-Multi-target tracking: the use of texture information obtained by gabor filter feature extraction
Adative-contour-extraction
- 在图像中提取轮廓（用到了自适应阈值分割算法），根据目标特征，如周长、面积等参数进行筛选，得到目标的轮廓。-Contour extraction in the image (use an adaptive thresholding algorithm), depending on the target characteristics, such as perimeter, area and other parameters of screening, target profile.
Gray-Level-Co-Occurrence-Matrix
- 基于OpenCV和VS2008的图像灰度共生矩阵特征提取实现。文件中还有matlab版本的-Images based on OpenCV and VS2008 GLCM feature extraction achieved. Matlab version of the file there
opencv_FeatureDetect_Test
- 这个是在刚学opencv时候的测试小代码。主要是图像特征提取方面的。同时，里面含有自编了canny、角点检测还有一些其他。里面每个文件均可以单独运行在VS20101平台下。（opencv2.1）-This is just a test when a small learning opencv code. The main aspects of the image feature extraction. At the same time, which includes self-compiled
motion-tracking-and-implementation
- 目标跟踪是计算机视觉的一个重要分支,日益广泛应用于科学技术、国防安全、航空、医药卫生以及国民经济等领域。实现目标跟踪的关键在于完整地分割目标、合理提取特征和准确地识别目标,同时,要考虑算法实现的时间,以保证实时性。当视频图像中被跟踪目标发生姿态变化,存在旋转或部分遮挡时,简单的灰度模板或者Hausdorff距离匹配一般很难达到实时跟踪目标的要求,出现误匹配或者跟踪丢失的情况,而且跟踪效率较低。Gary R.Bradski提出的CAMSHIFT[1](Continu-ously Adaptive
TestOrc
- opencv2,3中增加的ORC特征提取方法，程序内附有图片，效果还不错-feature extraction introduced in OpenCV2.3
TestSIFTVC6
- OPENCV_SIFT_特征提取_匹配算法-opencv_sift_feature extraction
LBP
- 图像LBP特征提取，结合OpenCV2.3，LBP特征在图像检索方面用途很大。-The images LBP feature extraction, combined with OpenCV2.3 of LBP characteristics in image retrieval purposes.
tt
- OPENCV实现颜色识别，特征提取，运动检测等功能，其中包含读取图像-OPENCV color recognition, feature extraction, motion detection function, which contains the read image
opencv_surf
- opencv提取surf特征点 并进行匹配(Extracting surf feature points using opencv)
code1
- 特征点提取及图像匹配,局部图像特征提取匹配(Feature point extraction and image matching, local image feature extraction matching.)
字符特征提取
- 结合OpenCV在VS2015平台上对含有字符特征提取，例如可以进行车牌识别等(Combined with OpenCV on the VS2015 platform to contain character feature extraction, such as license plate recognition can be carried out)
特征检测
- 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