搜索资源列表
Adaboost
- AdaBoost算法提取图像的整体特征 含api 可直接导入到工程中-opencv AdaBoost
FaceDetection-0303
- 基于opencv的脸部特征识别工程，是在vs2010下进行的开发-Opencv based facial feature recognition project is carried out under development in vs2010
goodFeatures
- vs2008工程，调用opencv函数显示一幅图片的显著特征点。-vs2008 project, call the opencv function displays a picture of the salient features of points.
facedetect
- VS2008+opencv ,以人脸和眼睛作为特征，可用一张或者多张人脸作为训练模版，进而可以进行人脸相似度匹配，代码实时性强，可用与毕业设计或相关工程-VS2008+ opencv, people face and eyes as a feature that can be used one or multiple faces as a training template, and then you can face similarity matching, code real-time, c
opencv_ann
- 使用opencv的机器学习模块用多层神经网络算法实现对二维特征的分类。并具有一定的可视化处理。只上传了主要代码。不包含工程文件-Opencv using machine learning module for two-dimensional feature free multilayer neural network algorithm. And have some visualization. Upload only the main code. It does not contain a p
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
extract_feature
- 此工程实现提取jpeg图像的DCT系数首字母概率作为jpeg重压缩检测的特征，以此特征训练出分类模板，可以检测出一张jpeg图像是单压缩还是重压缩。-Works to achieve this extract jpeg image DCT coefficients of the first letter of the probability of detection as a jpeg heavy compression feature, this feature trained classif