搜索资源列表
facedect
- 图像处理中人脸检测代码，并有主函数调用程序，采用Haar特征检测人脸。-Image processing human face detection code, and the main function of the calling program, Haar feature detection face.
haarPadaboost
- 基于haar特征的adaboost人脸检测算法，VC++编写，内附文章，对学习adaboost人脸检测者来说有很大的帮助-Adaboost face detection algorithm based on haar feature, VC++ prepared, containing articles, learning Adaboost face detection is of great help
AdaBoost_TrainData
- 这份代码是使用haar+adoboost做人脸检测用的，文件中还包括其他的特征选择，特征提取的算法，对于想做人脸检测这一块的朋友，可以下载来研究。-This code is used haar+adoboost human face detection, the document also includes other feature selection, feature extraction algorithm for face detection which one wants a frie
real-time-facedetection-and-tracking
- 本文运用haar特征分类，对人脸进行动态的检测和跟踪，经过试验对比可以发现效果很好，识别率较高-This paper uses haar feature classification, human face detection and tracking of dynamic, contrast can be found through the test with good results, the recognition rate is higher
facedetect
- 利用android手机摄像头拍照，并用haar特征法对拍摄的照片进行人脸检测-Use android phone camera to take pictures and characteristic method using haar photographs for face detection
HaarPclassifiers
- 利用vs2008编写的利用haar特征分类器实现的人脸检测程序-Use vs2008 prepared by the use haar feature classifier implemented face detection process
FaceReg_Pca
- 基于opencv的C++编写的利用haar特征人脸检测pca人脸识别的程序和相关文件。-Based on the opencv C++ prepared by the use haar feature face detection pca face recognition programs and associated documentation.
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
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
Fusing-Multiple-Feature
- 通过改进基于Haar-like特征和Adaboost的级联分类器，提出一种融合Haar-like特征和 HOG特征的道路车辆检测方法-By improving based on Haar-like features and Adaboost cascade classifier, presents a fusion of Haar-like features and characteristics of HOG road vehicle detection method
test_detect1
- program to detect detection of vehicle on road using learning of haar features
IRIS_UPDATE
- Iris code for human detection.it is based on wavelet transform and haar wavelet
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
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
face_new_jpg
- OpenCV face detection using haar classifier and common implementation.
pa_haar
- OpenCV Haar人脸检测静态化库函数，将xml文件静态化处理了，所以直接调用即可，无需xml文件了。-OpenCV Haar face detection static library functions, the static xml file processing, so you can directly call without xml files.
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