资源列表
41
- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之六十，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the sixty percent, which, I hope, you adopted
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- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之五十，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the fifty percent, which, I hope, you adopted
testface
- 人脸识别测试程序，利用OPENCV例程修改-Face recognition test program, using OPENCV routines modify
AdaBoost
- (北京大学本科论文)基于AdaBoost_算法的人脸检测，非常经典，也非常易懂！-(Peking University undergraduate thesis) based on AdaBoost_ face detection algorithm, very classic, is also very easy to understand!
shibie
- 从车牌照中提取车牌号码 并转换成数字 实现自动识别-Extracted from the vehicle license plate license plate number
VC-image-recognition
- 《Visual C++数字图像识别技术典型案例》源代码，介绍了数字图像处理和计算机视觉领域的几个应用实例，包括指纹识别系统、数字水印技术、条形码技术、印鉴鉴定系统、光学字符识别技术以及基于视觉的手势识别系统。-"A typical case of Visual C++ digital image recognition technology" source code, some application examples of digital image processing and comput
Detecting-Text-in-Natural-Scenes
- 关于场景文本定位、分割、识别的一些国外论文，根据图像的亮度和色彩信息、轮廓宽度变换等算法。-A Novel Algorithm for Text Detection and Localization in Natural Scene Images，Detecting Text in Natural Scenes with Stroke Width Transform，Scene Text Extraction using Image Intensity and Color Information
Adaboost
- 基于adaboost的人脸检测代码（只是有几个数组维数不匹配 转置一下就ok 可以运行出来了 ）-Based on the face detection adaboost code (a few array dimension not matching transpose once ok can run out)
GetMainImage
- 扫描图像，识别多目标，并获得主图像参数！！主要是运用4联通法来进行编程操作！-Scan the image and get the main object！
TypeRecView
- 基于MFC实现256位静态车体照片的二值化处理，中值滤波，以及车牌定位。-Based on MFC realize a static pictures of 256 car binary processing, median filtering, and license plate localization.
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- 本程序用pca和kpca，实现人脸识别，kpca的效果比较不错，识别率为百分之九十-This program with pca and kpca, realize the face recognition, kpca effect is better, recognition rate is ninety percent
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- 本程序用pca和kpca，实现人脸识别，kpca的效果比较不错，识别率为百分之九十一-This program with pca and kpca, realize the face recognition, kpca effect is better, recognition rate is ninety percentone