搜索资源列表
project_by_Jingzi_Xu
- 一个非常好的人脸识别程序和PPT 一个非常好的人脸识别程序和PPT-face recognition
OOA_analyse_and_UML_PPt
- 详细介绍了面相对象的分析设计 及UML语言的运用 包含实例的ppt-Detailed analysis of the target face design and the use of UML language contains examples ppt
sourcecodeoffacerecognitionbasedonWebCamandgraduti
- 基于WebCam的视频采集+人脸检测识别软件,含毕业设计有关的所有资料(论文、大摘要甚至ppt).-source code of WebCam based video acquisition,and face ditection system,and related graduation essay including paper,summary,even ppt.
PCA
- PCA和2DPCA算法由于其在降维和特征提取方面的有效性，在人脸识别领域得到了广泛 的应用。该PPT详细介绍了PCA和2DPCA算法在人脸识别中具体步骤。-PCA and 2DPCA algorithm due to its dimensionality reduction and feature extraction in terms of effectiveness, in face recognition has been widely Applications. Th
Amirouche-Final
- ppt to learn PCA face recognition
20130225
- 基于PCA主成分分析算法的人脸识别，包括Matlab代码及原理的PPT -Face recognition algorithm based on PCA principal component analysis, including Matlab code and the principle of the PPT
K-L-transform
- 包括K-L变换以及演讲PPT，阐述了K-L的原理以及应用，并在人脸数据库中进行搜索匹配-Including the KL transform and presentations PPT, KL on the principles and application, and to search the database to match the face
toronto-univ_facedetection-nice
- Toronto University ppt on face recognition
tianli-matlab_offscreen-a2352dc
- 有关ICA人脸特征提取的PPT,对于做人脸识别,或表情识别提取特征很有帮助.--On the ICA face feature extraction PPT, to make face recognition or face recognition feature extraction helpful.
CIELAB_PCA-master
- 利用主成分分析PCA的方法来进行人脸图像的图像图像处理，不仅包含MATLAB代码，还含C++代码，并附有PPT说明-Principal component analysis PCA method for face images of image processing, contains not only the MATLAB code also contains C++ code, along with instructions PPT
LookFace加密系统
- C#开发的基于Face++的人脸识别视频登录验证加密系统，加密采用AES算法。内有PPT文档和文件的运行流程。(C# development of Face++ based face recognition, video registration, verification, encryption system, encryption using AES algorithm. There are running processes for PPT documents and files.)
项目管理PPT
- 实现人脸特征定位及人脸描述符提取功能。很好很强大。(To get started, run "demo". This detects faces in the example image, loading cached detections from files if available, localizes the facial features and extracts descr iptors for each face.)