搜索资源列表
ChainCascade_src
- ChainCascade， harr 特征进行分类器训练，得到一个级联的boosted分类器，训练目标特征，检测物体，这是从opencv库 转化成 vc++源代码，有一位博士完成，很不错。-ChainCascade, Harr features classifier training to be a cascade boosted classifier, training objectives features, object detection, which is OpenCV library
HaarTraining
- opencv中用到的harr训练的详细介绍,含截图
rljc
- 人脸检测,在OPENCV下运行.基于HARR特征
main
- code for traning harr with opencv
MorletGen
- Labview code for morlet wavelet
opencv
- 首先关于图像处理软件opencv进行总的介绍，然后分别对其中的人脸检测原理、计算机视觉、Harr特征级联表、非固定大小目标检测步骤、拉普拉斯边缘检测及opencv的其他特性作了一定的介绍-General introduction to the first image processing software opencv face detection principle, computer vision, Harr, characteristics of cascade table, fixed-
HhaarzipA
- HARR小波的Visual CC实现源代码,能用于人脸检测与识别 -HARR wavelets Visual CC source code, can be used for face detection and recognition
peda_detect
- 行人检测实现代码，利用hog特征和harr特征，svm分类器实现-Pedestrian detection code, the use of hog features and harr characteristics, svm classifier to achieve
hararcascade
- harr 分类器。源代码很好描述了harr分类器的构建和使用等相关知识-Harr csacade source code descibe the knowledge.
harr
- 本程序为人头识别，主要功能为识别某一画面中人头的个数以及人群密度分布-This program is to identify the head, the main function is to identify the number and population density of a picture of the distribution head
HAAR
- Harr特征提取人脸特征，MATLAB代码-Harr feature extraction face feature, MATLAB Code
Haar
- 用python语言实现的基于Harr特征的人脸检测算法，可以用于人脸的检测，眼睛，鼻子等脸部五官的检测-Using python language based on the Harr feature-based face detection algorithm can be used for the detection of face, eyes, nose and other facial features detection
haarcascades
- 基于OpenCV harr级联分类器的人脸及眼睛、鼻子、嘴巴(Opencv_haar classifier)
harr
- 用envi将遥感影像的6个波段分别存储为灰度图像 1）打开一个波段的灰度图 用envi将遥感影像的6个波段分别存储为灰度图像 1）打开一个波段的灰度图用envi将遥感影像的6个波段分别存储为灰度图像 1）打开一个波段的灰度图(Well, this might not be a solution (well its been solved here though), but surely interesting metaphor to your question. Have a look and
xiao_bo
- 小波变换对图像去噪，小波用海尔基，图像需输入文件名，图像可以直接去噪，也可以添加高斯白噪声后再去噪。压缩包中包含界面。具体情况详见m文件中注释。(Image denoising with wavelet transform,Harr wavelet)