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Description: 从国外网站上淘来的人脸识别程序，可以作为图像识别方面的一个例子来学习。很不错。-from foreign web sites to the Amoy face recognition procedures, image recognition can be used as an example of the study. Is pretty good.
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Author: 吴宗静 |
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Description: 人脸识别是机器视觉和模式识别领域最富有挑战性的课题之一，同时也具有较为广泛的应用意义。人脸识别技术是一个非常活跃的研究领域，它覆盖了数字图像处理、模式识别、计算机视觉、神经网络、心理学、生理学、数学等诸多学科的内容。如今，虽然在这方面的研究已取得了一些可喜的成果-Face recognition is the field of machine vision and pattern recognition, one of the most challenging issues, but also has a relatively wide range of applications meaning. Face recognition technology is a very active area of research, which covers digital image processing, pattern recognition, computer vision, neural networks, psychology, physiology, mathematics and many other subjects content. Today, although research in this area have been some encouraging results
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Author: ldj |
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Description: 一个简单的JAVA小游戏，运行后出现一张笑脸图片，WSAD分别可以控制笑脸上下左右移动-A simple JAVA games, to run after a smiley face image, WSAD can be controlled separately from top to bottom and move around smiling face
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Size: 3072 |
Author: kailin |
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Description: This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex. -This is a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex.
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Size: 2751488 |
Author: minu |
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Description: 这两天写了一个小程序,可以定时从网上下载图片来设置为电脑的桌面。程序主要是用java实现的，采用了正则表达式来从网页文件中分析得到图片地址。因为设置图片为桌面必须使用windows api,设置图片为桌面的代码采用了C代码，使用jni(javaa本地接口)来和java程序集成。
程序获取图片的网址和时间间隔都可以设置，现在我使用的是百度的图片搜索来查找图片，每半个小时更换一次桌面，再也不用面对一成不变不变的桌面了，百度会替我查找最漂亮的图片设置为桌面。-Two days to write a small program that can regularly download pictures from the Internet to set the computer desktop. Process is mainly achieved with java, using regular expressions to analyze the document from the website get the picture address. Set picture as desktop must use windows api, set the picture as desktop code using C code, use the jni (javaa local interfaces) to integrate and java program. Procedures for obtaining images of the site and time interval can be set, and now I' m using Baidu' s image search to find the picture, each half-hour to replace a desktop, and no longer have to change the face of static desktop, and Baidu will for me to find The most beautiful pictures set to your desktop.
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Size: 96256 |
Author: ck |
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Description: 一个Java实现的基于内容的图像检索工具包，可用来提取图像的颜色特征、纹理特征（Gabor Filter）以及形状特征，并在此基础上判断图像相关性。-Java implementation of a content-based image retrieval toolkit, which can be used to extract the image' s color features, texture features (Gabor Filter), and shape features, and on this basis to determine the image correlation.
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Size: 41984 |
Author: 杜可 |
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Description: 人脸图像特征提取：基于局域二值模式（LBP），对图像中的人脸纹理特征进行提取。-Face Image Feature Extraction: Based on the local binary pattern (LBP), the human face on the image to extract texture features.
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Size: 352256 |
Author: 易鑫 |
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Description: 图像人脸识别：java结合OPENCV实现人脸头像定位。-Image Recognition: java implementation OPENCV face with head positioning.
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Author: 易鑫 |
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Description: face recognition using laplacian face approach
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Size: 2048 |
Author: digs |
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Description: java版本的图片处理，支持人脸识别功能-java version of the image processing, face recognition function
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Size: 5054464 |
Author: luofei |
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Description: 利用java实现sift算法，实现对图像人脸信息特征值的提取
-Using java to achieve sift algorithm, the image face eigenvalue extraction
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Size: 2048 |
Author: 阳林军 |
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Description: HOG
PK
Ali Hassan
Ali Hassan
opencv, MATLAB, Java, Android, Eclipse, XML, HTML,...
Islamabad, Capital
0.0
New on Elance
22/hr
rate
About Ali Hassan
I’m primarily interested Computer Vision and Image Processing projects. I have extensive experience (Research and Industrial) in these fields. Following is the list of projects that I have worked on in the past two years.
1. Face Detection (Matlab and OpenCV, Visual Studio 12)
2. Person Detection (Matlab and OpenCV, Visual Studio 12)
3. 2D Human Body Pose Estimation (Matlab, mex-OpenCV)
4. Character Recognition (OpenCV, Visual Studio 12)
5. License Plate Rec...
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Author: mohamed_bedawy |
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Description: The way this algorhitm works is by treating face recognition as a
* two-dimensional recognition problem, taking advantage of the fact that
* faces are normally upright and thus may be described by a small set
* of 2-D characterisits views. Face images are projected onto a
* feature space ( face space ) that best encodes the variation
* among known face images. The face space is defined by the
* eigenfaces , which are the eigenvectors of the set of faces
* they do not necessarily correspond to isolated features such as eyes,
* ears, and noses. (quoted the paper s abstract)-The way this algorhitm works is by treating face recognition as a
* two-dimensional recognition problem, taking advantage of the fact that
* faces are normally upright and thus may be described by a small set
* of 2-D characterisits views. Face images are projected onto a
* feature space ( face space ) that best encodes the variation
* among known face images. The face space is defined by the
* eigenfaces , which are the eigenvectors of the set of faces
* they do not necessarily correspond to isolated features such as eyes,
* ears, and noses. (quoted the paper s abstract)
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Size: 559104 |
Author: BISIMWA |
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Description: 人脸识别demo，主要是金融行业防欺诈，另外是安保行业摄像头人像搜索使用(Face recognition demo, mainly the financial industry to prevent fraud, and the security industry camera search for the use of human image.)
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Size: 1285120 |
Author: hzyy
|
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Description: 吃货联盟的3中实现方式
面像过程，面像对象，面像网络交互(Three ways to realize the Alliance
Image process, image object, face image network interaction)
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Size: 37888 |
Author: 苏小小oo |
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