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surf特征提取算法源码
- surf特征提取算法源码，用opencv实现，可用于特征匹配、图像拼接等
基于OpenCV的Harris图像特征点提取
- 基于OpenCV的Harris图像特征点提取，在VC++6.0下调试通过，可以运行,OpenCV image based on the Harris feature point extraction, in VC++6.0 under the debugger through, you can run
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
bgfg_segm.rar
- OpenCV编写的一段代码，完成特征提取的功能，处理的是24位真彩图像。,OpenCV prepared a section of code, complete the feature extraction function, we will deal with 24-bit true color images.
Sift.zip
- 用SIFT (Scale Invariant Feature Transform) 算法进行图像特征提取，基于OpenCv的C++代码实现。,Using SIFT (Scale Invariant Feature Transform) algorithm for image feature extraction, based on the OpenCv the C++ Code.
hog_extraction.rar
- 基于OPENCV的静止图像的HOG特征提取算法的全部程序，完全可用于各种图像的HOG特征提取，以进一步训练分类器进行行人检测,source code that apply to the pedestrian detection based on OPENCV.this document can help you extract HOG features from any type image which include human in it
基于OpenCV的SIFT特征点提取进行匹配的程序
- 基于OpenCV的SIFT特征点提取进行匹配的程序，程序中采用了两幅图像，匹配后可进行放射变换-OpenCV based on SIFT feature point extraction of matching procedures, the procedures used in the two images, match after radiation transformation
SIFT
- 这是基于OpenCV的SIFT特征提取实现。-This is based on the OpenCV implementation of the SIFT feature extraction.
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
extrace
- 基于Gabor滤波器的图像纹理特征提取，Gabor，纹理特征-Gabor filter-based feature extraction of image texture, Gabor, texture features
hog
- 鉴于目标的特征提取，一种采用HOG作为特征的行人检测方法-Histograms of Oriented Gradients for Human Detection
imagesearch
- 研究生毕业是编写的图像检索的程序，有相似度匹配，特征提取，检索运行效果好-Graduate school is to write the image retrieval process, there is similarity matching, feature extraction, retrieval operation good results
feature-matching-based-on-opencv
- 基于opencv来简单实现图像处理中的特征点提取和匹配-Opencv to simple implementation based on image processing feature extraction and matching
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
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
灰度共生矩阵特征提取应用
- 基于VS2010平台和openCV实现的基于灰度共生矩阵特征提取木材表面缺陷(Extraction of wood surface defects based on Grey co-occurrence matrix)
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
Gabor变换及特征提取
- 利用opencv在VS2012中编程实现的Gabor特征提取(Gabor feature extraction based on OpenCV programming in VS2012)
基于opencv的瑕疵检测
- 基于opencv的瑕疵检测，简单实用，瑕疵特征提取(Flaw detection based on opencv, simple and practical, flaw feature extraction)