搜索资源列表
face-detection-based-skin-model
- 图像人物皮肤局域检测，face detection based skin model-face detection based skin model
renlian-moxing
- 人脸模型算法程序，实现了全天候的系统监测，对于从事人脸监测的人员来说，很大的参考价值，值得看。-Face model algorithm procedures, the weather system monitoring, for monitoring personnel in the face, the great reference value, it is worth watching.
haar_face-detection
- this a face detector using haar like features this is an extension of viola jones model with lesser number of features or subset of features-this is a face detector using haar like features this is an extension of viola jones model with lesser nu
HMM
- 本程序是基于隐马尔科夫模型（HMM）的方法在visual C++环境中实现人脸检测。-This procedure is based on the hidden Markov model (HMM) method in visual C++ environments face detection.
Face-Detection-technology
- 对人脸检测所面临的问题进行探讨 ,分析有关人脸检测问题的研究方法 ,并对其进行分类和 评价。从基于模板的方法、 基于肤色模型的方法、 基于统计理论的方法三方面进行了阐述。分析各 种方法的优缺点 ,并提出了关于人脸检测问题的进一步研究方向-For face detection to explore the problems faced, analyzed the problem of face detection research methods, and its classificati
siggraph2011RPBFA
- 一篇三维人脸重建的最新论文，被siggraph2011接收-A three-dimensional face model to do the latest papers received by siggraph2011
aam_tools_win_v3
- 图像处理中人脸aam模型相关几个工具，实现图像中人脸模型的建模等-Image processing model of human face aam several related tools for image modeling human face model
Draw-Face-in-MFC
- 在MFC中实现了所读取的各种格式的三维模型的面片绘制-Implemented in MFC by reading a variety of formats to draw three-dimensional model of the surface film
Face-towards-the-recognition
- 人脸朝向识别算法——BP神经网络模型及LVQ神经网络模型-Face towards the recognition algorithm- BP neural network model and the LVQ neural network model
Complex-environments-face-detection
- 提出了一种针对复杂环境下的过人脸检测方法，首先在CbCgCr空间利用直接最小二乘法构建了对光照和复杂背景鲁棒性更好肤色聚类模型，实现了准确的肤色检测；然后针对人脸中姿态和表情变化，提出了基于Adaboost的多姿态人脸检测，精确的实现了人脸检测定位。-Extraordinary face detection method for complex environments, the first space CbCgCr direct least squares meth
face
- 基于高斯肤色模型的人脸检测技术，应用于人脸识别系统-face recognization based on gauss model
Face-Match
- 人脸检测系统， 通过人脸皮肤颜色模型， 识别人的脸部形状和特征-Face detection system, identify the person' s face shape and features of the face skin color model,
Color-face-recognition
- 实现基于肤色模型的人脸检测算法，包括基于相似度和几何特征以的非线性变换技术的算法的实现-Face detection algorithm based on skin color model, the realization of the algorithm based on similarity and geometric characteristics to non-linear transformation technology
Face-RecognitionMATLAB-CODE
- 在YCbCr色彩空间中建立肤色分布的高斯模型,得到肤色概率似然图像,在最佳动态阈值选取算法下完成肤色区域的分割。-YCbCr color space to establish the color distribution of the Gaussian model, color probability likelihood image, skin color region segmentation is completed in the best dynamic threshold select
PCA-Face-detection-and-recognition
- PCA 人脸检测识别 内容：人脸特征值提取 人脸模型重建，识别人脸-PCA face detection and recognition: facial feature value extraction， facial model reconstruction, recognize faces
face
- 这是一段自己编写的基于高斯模型的matlab人脸识别代码-This is a piece I have written matlab face recognition code based on the Gaussian model
Face-detection-based-on-skin-color
- 人脸检测，能够检测出多张人脸，通过建立肤色模型，图像预处理等，分割出肤色区域，效果不错。-Face detection and can detect more than one face, through the establishment of skin color model, image preprocessing, segmentation of color of skin area, the effect is good.
face-detection
- 基于肤色的人脸检测代码，建有肤色模型，有兴趣的可以下载下来-Face detection code based on skin color, skin color model, are interested can download them to see
generic-face-matlab
- candide-3 model face plotting
Face-orientation-recognition
- 本课题研究的步骤如下：先提取人脸的特征向量；产生训练样本和测试样本；再用LVQ创建神经网络模型，该模型用训练样本进行训练调整权值；用测试样本对建立的人脸朝向识别模型进行验证，要求有较高的识别率。 本课题要求使用LVQ神经网络的算法进行Matlab仿真，对人脸朝向进行有效的判断和识别。 -This study is the following steps: first extract facial feature vector generate training and testing