搜索资源列表
gradient_face
- 人脸特征提取，梯度脸+高斯金字塔模型。内含yalefaces。-Facial feature extraction, the gradient face+ gaussian pyramid model.including yalefaces.
svd
- 采用SVD方法进行人脸特征提取，效果非常的不错，放心下载-SVD method using facial feature extraction, the effect is very good, rest assured Download
pca
- 基于主成分分析的人脸特征提取的MATLAB源代码，通过测试的-Principal component analysis based on human face feature extraction MATLAB source code, pass the test
2DLADP2DPAC
- 一种改进的2 dlda + 2 dpca人脸特征提取算法，很好用！-Improved 2 dlda+ 2 dpca facial feature extraction algorithm, the result is right
manface-feature-extraction--examples
- 本例子中有40人脸库，详尽的人脸特征提取例子，大家可以参考学习。-This example has 40 face , detailed facial feature extraction example, we can refer to learn.
succeed
- 采用MATLAB程序来编写图像处理。只要是对人脸特征提取中的光照补偿等预处理的相关代码!-Pretreatment, light processing, geometry processing
Face-Normalization
- 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.
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.
基于Gabor-pca的人脸识别
- 人脸识别完整的程序，特征提取之后，然后用分类器识别。-face recognition
13FaceRec
- 人脸特征提取与识别matlab程序，主要提取了PCA特征、SVM分类和核方法分类等，代码可以直接使用-Face recognition based on PCA features and Kernel methods, which is used in pattern extraction.
monitor-recorder
- SeetaFace人脸识别引擎包括了搭建一套全自动人脸识别系统所需的三个核心模块，即：人脸检测模块SeetaFace Detection、面部特征点定位模块SeetaFace Alignment以及人脸特征提取与比对模块SeetaFace Identification。 主要功能： 人脸检测模块(SeetaFace Detection): 采用了一种结合传统人造特征与多层感知机（MLP）的级联结构，在FDDB上达到了84.4 的召回率（100个误检时），并可在单个i7
FaceStudy(surf)
- 根据opensurf调整的人脸特征提取算法-Extraction algorithm based on the facial feature adjustment opensurf
PCA_gabor_svm
- Gabor小波变换和PCA降维在用SVM分类(Gabor wavelet transform and PCA dimension reduction are classified in SVM)
Tracking
- 人脸识别代码 脸部特征提取 人脸追踪 返回人脸视频(Face tracking facial features face recognition code)
LBP_Matlabcode
- 基于MATLAB的LBP人脸特征提取，提取人脸特征图谱(LBP facial feature extraction)
Gabor提取图像纹理
- Gabor实现图像纹理特征提取，用于人脸识别，指纹识别等，并用matlab进行编码。(Gabor complete image texture feature extraction)
Image-feature-detection
- 提取图像边缘特征，应用于人脸识别，图像特征区域提取。(Extracting image edge features and applying it to face recognition, image feature extraction)
face detection
- 运用HOG提取人脸特征与支持向量机算法训练模型，进行人脸识别(Using HOG to extract facial features and support vector machine algorithm training model for face recognition)
FaceDetect-master
- 面部检测，基于图像的人脸识别，opencv2 cv3(If you want to understand how the code works, the details are here: https://realpython.com/blog/python/face-recognition-with-python/ Update: Now supports OpenCV3. This change has been made by furetosan ( https://git
SIFT
- 面像识别训练时用到的归一化特征，进行人脸特征提取的代码(The normalization features used in facial recognition training, and the code for facial feature extraction)