Description: This article is an extention of an article that I posted on CodeProject earlier (See http://www.codeproject.com/KB/mcpp/iss.aspx). This project demonstrates how to perform human face and eye detection using OpenCV in .NET. The detection is performed using Haar Cascades that I acquired from two different sources (See References). -This article is an extention of an article that I posted on CodeProject earlier (See http://www.codeproject.com/KB/mcpp/iss.aspx). This project demonstrates how to perform human face and eye detection using OpenCV in. NET. The detection is performed using Haar Cascades that I acquired from two different sources (See References). Platform: |
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Author:萧董 |
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Description: 本文介绍了OpenCV函数库的基本用法,阐述了目前做人脸检测研究中所使用的常用检测算法,并利用OpenCV设计和实现了图像中人脸的检测,试验结果表明利用OpenCV开发人脸检测系统效率高,识别效果好。-This paper introduces the basic OpenCV library usage, on the current human face detection research commonly used in the detection algorithm, and the design and implementation using OpenCV image of human face detection, test results show that the development of the use of OpenCV Face Detection system efficiency high, identify effective. Platform: |
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Author:吴彦 |
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Description: 采用vc6.0编写，基于opencv框架。绝对好的程序。非常完整的小波变换程序，可以进行灰度和彩色图像的多层小波变换。小波的种类可以选择，一共给出了四种小波。可以对任意尺寸的图像进行分解。绝对是非常好的小波程序。本人早期亲自编写，代码写的不很美观，但非常好用。-Vc6.0 used to prepare, based on the framework of opencv. Definitely a good program. Wavelet transform is a complete program, can be gray and color images of the multi-wavelet transform. Can choose the type of wavelet, a total of four wavelet is given. Arbitrary size can be decomposed images. Wavelet is a very good program. I personally prepared earlier, the code written is not very beautiful, but very easy to use. Platform: |
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Author:任桢 |
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Description: 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 of LDA algorithm can be overcome by two—dimensional LDA f 2DLDA)，and
Support Vector Machine(SVM)has the characteristic of structural risk minimization．In this paper，two methods were
combined and used for face recognition．Firstly，the original images were decomposed into high—frequency and low—frequency
components by Wavelet Transform(WT)．The high—frequency components were ignored，while the low—frequency components
can be obtained．Then．the liner discriminant features were extracted by 2DLDA，and”one VS rest”。strategy of SVMs for
muhiclass classification was chosen to perform face recognition． Experimental results based on ORL f Olivetti Research
Laboratory1 face database and Yale face database show the validity of 2DLDA+SVM algorithm for face recogn ition． Platform: |
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Author:费富里 |
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Description: 用opencv实现的图像小波变换及反变换代码，可用于图像去噪、多分辨率分析等方面。-Opencv achieved with wavelet transform and inverse transform the image code can be used for image denoising, multi-resolution analysis and so on. Platform: |
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Author:zyy |
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Description: 实现对图像的gabor小波变换，利用了opencv的函数库，可实现方向和尺度等多项选择。-Achieve image gabor wavelet transform, using the opencv function library, enabling the direction and scale and many other options. Platform: |
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Author:苏航 |
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Description: 用OpenCV实现的图像小波变换及反变换代码 程序在c++环境中可以实现-Image with OpenCV implementation of wavelet transform and inverse transform code program in c++ environment can be achieved Platform: |
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Author:王斌 |
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Description: A recognition process can be much more efficient if it is based on the detection of features that encode some information about the class to be detected. This is the case of Haar-like features that encode the existence of oriented contrasts between regions in the image. A set of these features can be used to encode the contrasts exhibited by a human face and their spacial relationships. Haar-like features are so called because they are computed similar to the coefficients in Haar wavelet transforms.-A recognition process can be much more efficient if it is based on the detection of features that encode some information about the class to be detected. This is the case of Haar-like features that encode the existence of oriented contrasts between regions in the image. A set of these features can be used to encode the contrasts exhibited by a human face and their spacial relationships. Haar-like features are so called because they are computed similar to the coefficients in Haar wavelet transforms. Platform: |
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Author:bavi |
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Description: 小波分析理论中的一些例程,摘出来方便大家参考,推荐给大家(Some of the routines in the theory of wavelet analysis to pick out for you easy reference, recommend to everyone) Platform: |
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Author:qryposltions
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Description: 图像色彩丰富度反映的是色彩的鲜艳生动程度，CCI(Color colorfulness index)为其衡量指标。另外还有一篇经典文献。(CCI(Color colorfulness index)
OPENCV Code
A Novel Full-Reference Color Image Quality Assessment Based on Energy Computation in the Wavelet Domain) Platform: |
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Author:zhaodong |
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Search - wavelet in opencv