搜索资源列表
FaceDetect
- 介绍了人脸检测的算法，然后分析人脸检测算法在CPU上执行的效率，最后找到在GPU上利用OpenCL并行优化基于haar层级分类器的通用方法，从比较宏观的角度介绍了优化方法，给出了基于图像金字塔和级联分类器的算法的通用优化方法-Introduced face detection algorithm, and then analyze the face detection algorithm running on the CPU efficiency, and finally found the G
haarclassifier
- this is haar classifier. you can use to face recognition. good for you
Kofsky-Code-Orange
- 人脸检测，matlab源码，适合初学者使用，包括Adaboost及Haar-like特征提取-face detectiom
FeatureTracker
- 基于光流法的人脸追踪 先通过opencv的类haar特征检测人脸 然后用光流法筛选特征点并追踪-Optical flow method based face tracking to pass the class haar feature detection opencv face then light flow filter and track feature points
fdtool
- 利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features. Object/face detection is performed by evaluating trained models over multi-scan windows with
haarcascades
- 训练好的分类器，有人脸，人眼，倾斜的人脸等等。是基于haar特征的。-Trained classifier, it was the face, eye, face, and so inclined. Is based on haar feature.
fdtool_release
- fdtool toolbox for face recognition/detection uses MBLBP/Haar features with Adaboost classifier
AB2639964000
- this is fpga BASED HAAR like feature for face detection it s include algorithms and explanations of haar features -this is fpga BASED HAAR like feature for face detection it s include algorithms and explanations of haar features
faceEye
- 基于haar级联分类器的opencv人眼识别程序，思路是先识别人脸，然后以人脸为ROI识别人眼。-Haar cascade classifier based on opencv human eye recognition program, the idea is to recognize faces, and then face the human eye to identify the ROI.
face_rotate
- Face Rotate can detect 360 degre angles face rotation with haar algorithm
facedetect
- 基于opencv的人脸识别程序，基于haar的adoboost检测方法-Face recognition program based opencv，Adoboost based detection methods haar
facedet
- Canny Edge Detection with Pruner Code, javacv, face detection using HAAR CASCADE FEATURES
haarcascade
- 基于vc的haar检测，能够分类出人脸检测区域。-VC based Haar detection, can sort out the face detection region.
haarcascade
- 基于vc的haar检测，能够分类出人脸检测区域。-VC based Haar detection, can sort out the face detection region.
face_new_jpg
- OpenCV face detection using haar classifier and common implementation.
faceHaar
- vs2010环境下，用Haar分类器进行人脸识别，并标志出人脸-Under vs2010 environment, using Haar classifier for face recognition and sign a human face
Project8
- 这是基于haar特征的adaboost算法的人脸识别，可以检测出人的脸，用圆标注出来-This is based on adaboost haar features face recognition algorithm can detect the human face, with a circle marked out
Faceing
- 用C#在Microsoft visual 2010运用微软Face SDK开发包设计，其中采用三种基于haar特征的检测算法，用于一般姿势下的正面人脸的haar检测器，适用于多种不同姿势的人脸检测的Multiview多视角检测器和MultiviewPyramid多视角金字塔检测器，MultiviewPyramid与Multiview区别在于MultiviewPyramid算法使用内存更少。-With C# in Microsoft visual 2010 using Microsoft Face
win32_KinectFaceTracking
- 基于OpencvHarr的kinect人脸检测-Face Detection through kinect camera with OpenCV Haar Method
facefilter
- use haar to detect face