搜索资源列表
ifdef
- 人脸检测的C/C++源代码，曾发表于 OPENCV 的 MAILING LIST，主要是对OPENCV 3.1 版本发布的代码做了一些速度上的优化，并且解决了内存泄漏的问题。这个程序所使用的 Paul Viola 提出（该论文“Rapid Object Detection using a Boosted Cascade of Simple Features”发表在 CVPR 01）的 Ada Boosted Cascade 算法可以说是目前最好最快的目标检测算法。 -Face Detecti
SIFT-06-10-21
- 去年暑假编的SIFT特征提取算法，步骤作了详细叙述，其中用到几个OPENCV读取图片函数。解压密码jlh。-last summer addendum to the sciences feature extraction algorithm, described in detail the steps, Some of them used to read Photo OPENCV function. Jlh extract passwords.
MeanShiftTracking
- 国外一个大牛人写的MEAN-SHIFT目标跟踪算法，程序使用了OPENCV函数库。-abroad a large cattle written by MEAN - SHIFT target tracking algorithm, OPENCV procedures for the use of the libraries.
BK_Gauss混合高斯背景
- 本算法基于混合高斯模型编程，采用opencv库，能够运行
featureExtraction
- 图像处理中的特征提取算法，做识别和检测也许都用的上-Image processing feature extraction algorithm, making identification and testing may be used on both
classification
- 图像处理与模式识别中的识别算法，刚才传了特征提取，这是后续-Image processing and pattern recognition in the recognition algorithm, just pass the feature extraction, which is the follow-up
facedetect
- adboost算法下的人脸检测，以及opencv-adboost under the face detection algorithm, as well as opencv
2DLDAwiththeSVM-basedfacerecognitionalgorithm
- 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机 (SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽 略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸 识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem
TrackingAlgorithm
- 采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码，OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子-CAMSHIFT algorithm using fast-track and detect moving targets C/C++ source code, OPENCV BETA 4.0 version of the SAMPLE in this example is given
adaboost_openCV
- vc6.0环境下，使用opencv,基于adaboost算法的人脸检测识别程序，可以对视频流进行 处理，需要安装opencv1.0。-the vc6.0 environment opencv face detection and recognition program based on the AdaBoost algorithm for processing the video stream, need installation opencv1.0.
ORB_Test
- 基于opencv的 orb特征点匹配的算法实例 比sift suft快很多-Opencv orb feature points matching algorithm instance is much faster than sift suft
Haar-Detect
- 用OpenCV封装的Haar算法进行人脸检测，检测目标可以是多个人脸。-Face detection using Haar algorithm of OpenCV package, target detection can be more than one person face.
svm
- opencv实现的svm算法的代码示范，可用于学习svm的原理和使用效果。-opencv svm algorithm implementation code demonstration svm can be used to learn the principles and results.
DetFace
- 该程序可以实现对人脸检测，采用经典的Adaboost算法，利用了OPENCV库，简单可靠，亲测能用。-The program can be achieved on face detection, Adaboost algorithm classic, OPENCV library use, simple and reliable, pro-test be used.
SVM
- 自己用opencv实现的机器学习十大算法中的支持向量机算法，经过测试，算法运行很好-Own opencv realize with the machine learning ten algorithms in support vector machine algorithm, tested, the algorithm runs very well
project
- 基于c++语言和opencv的视觉立体匹配(Visual stereo matching based on c++ language and opencv)
迭代法图像复原算法3月20日改
- 使用C#的WPF与打印机调用打印例子。使用PrintDialog 类，用打印队列实现打印。利用vc6.0+opencv实现人脸识别(Use C#'s WPF and printer to call the Print example. Use the PrintDialog class to print with a print queue. Using vc6.0+opencv to realize face recognition)