搜索资源列表
HMMFacesAlpha0_1
- face recognition using hmm. first version.
opencv_apps_b1_5
- 微软的基于HMM的人脸识别原代码, 非常经典的说-Microsoft HMM-based Face Recognition source, said the very classic
HMMsource
- HMM用于人脸识别，从OPENCV里提取出来的,非常经典的说-HMM for face recognition, OPENCV extract from the very classical said
facerecognition
- 采用OpenCV进行人脸识别，隐马尔科夫链的应用，由混合分量来分割HMM的每个内在状态的所有观测值，运用现有的图像观测值分割为所有嵌入和内部的HMM函数，计算可能的变换矩阵-Using OpenCV for face recognition, hidden Markov chain applications, from the mixed components to split the internal state of each HMM all observations, use of the
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
VC-UsingDLL
- HMM, face detection, recognition
HMM
- This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. T
hmm_FACE_matlab
- 基于hmm的人脸识别的matlab程序，可以成功运行，对了解该算法有很大的帮助-HMM based on the face recognition of matlab program, can be successful operation, to understand the algorithm has very great help
0002HMM
- 利用隐马尔科夫方法进行人脸识别，具有较高的识别精度-use the HMM to human face recognition
face-recognition-using-HMM
- 使用hmm隐马尔科夫链做人脸识别，重量级论文。非常好。 face recognition using an embedded H-face recognition using an embedded HMM
face-recognition-SVD-HMM
- an efficient system for face recognition based on hidden markov models and SVD as features extractor
A-New-Fast-and-Efficient-HMM-Based-Face-Recogniti
- A New Fast and Efficient HMM-Based Face Recognition System Using a 7-State HMM Along With SVD Coefficients