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Description: 简单的人像识别系统,
只能模糊的检测人脸部分,有可能把手检测成人脸,背景要求高-simple automatic face recognition system, it will only vague Face detection, detection may handle adult face, background requirements are high
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Size: 62464 |
Author: 许剑平 |
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Description: humanface detection,the programme can be used to detect human faces from the complex background!-humanface detection, the program can be used to detect human faces f rom the complex background!
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Size: 1024 |
Author: zhangwei |
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Description: Abstract: Effective data processing is required with the fast development of multimedia technology. Compressed-domain images/video processing techniques have captured the attention of many researchers in recent years, and research on face detection and tracking in compressed-domain video becomes a new trend. Based on the analysis of the background and research status, some important future directions are presented.
Key words: face detection；face tracking；compressed domain -Abstract : Effective data processing is required with the fast development of multimedia technology. Co. mpressed-domain images/video processing Edge (have captured the attention of many res earchers in recent years, and research on face detection and tracking in c Item-domain video becomes a new trend. Ba sed on the analysis of the background and resear ch status, some important future directions are presente d. Key words : face detection; face tracking; compressed domain
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Size: 145408 |
Author: 黄永 |
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Description: 一个复杂背景下的人脸识别程序，希望大家下载，很有用的哦-a complex background of face recognition procedures in the hope that you downloaded very useful oh
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Size: 118784 |
Author: 陈聪 |
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Description: 这是我根据"opencv-人脸识别"和"背景建模，运动物体检测"两个程序结合的,内附了我自己合成的
英文版opencv.chm的电子书，希望对大家有帮助，运行程序时请修改cvLoad函数的路径到自己的
OpenCV\data，该程序主要是通过摄像头读取，边检测边分析人脸的功能-under "opencv-face recognition" and "background modeling, Moving Object Detection "combining the two procedures, enclosing my own synthesis of English opencv.chm of e-books, we hope to help Please operational procedures cvLoad function changes the path of their OpenCV \ data, The procedure is mainly read by the camera, edge detection edge analysis of the functional Face
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Size: 2146304 |
Author: ren |
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Description: 人脸表情识别是模式识别领域中一个非常活跃的研究方向。人脸表情识别包括:从背景图像中检测人脸 在视频中对人脸进行跟踪 提取表情特征 表情识别。本文在人脸表情识别的四个主要环节上均进行了研究工作。-Facial expression recognition is the field of pattern recognition in a very active research direction. Facial Expression Recognition include: background image from the detected face in the video face tracking for facial expression extraction characteristic expression recognition. In this paper, Facial Expression Recognition of the four main areas were carried out research work.
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Size: 4410368 |
Author: 阳关 |
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Description: 读入人脸图像，根据图像的水平，垂直灰度积分情况，将人眼范围取出，背景可以较复杂。-Reading into the human face image, according to the image of horizontal, vertical gray points, which will remove the scope of the human eye, the background can be more complicated.
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Size: 2048 |
Author: 大地 |
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Description: 可以检测多人脸图像，背景相对简单。
保留了图像的边缘信息，以区分相连的不同人脸肤色区域.运行时请放一张人脸图片到代码目录下,并改代码中的文件名.-Can detect more than face image, the background was relatively simple. Retained the image edge information in order to distinguish between connected color regions face different people. Running when you put a human face image to the code directory, and change in the code file name.
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Size: 1024 |
Author: vivi |
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Description: 详细分析了复杂背景下的人物识别，介绍了常用的经典识别算法。-Detailed analysis of the complex background of the characters to identify, introduce the commonly used classical recognition algorithm.
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Size: 33792 |
Author: hanqingrui |
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Description: A new approach toward target representation and localization, the central component in visual tracking
of non-rigid objects, is proposed. The feature histogram based target representations are regularized
by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functions
suitable for gradient-based optimization, hence, the target localization problem can be formulated using
the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya
coefficient as similarity measure, and use the mean shift procedure to perform the optimization. In the
presented tracking examples the new method successfully coped with camera motion, partial occlusions,
clutter, and target scale variations. Integration with motion filters and data association techniques is also
discussed. We describe only few of the potential applications: exploitation of background information,
Kalman tracking using motion models, and face tracking.-A new approach toward target representation and localization, the central component in visual trackingof non-rigid objects, is proposed. The feature histogram based target representations are regularizedby spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functionssuitable for gradient-based optimization, hence, the target localization problem can be formulated usingthe basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyyacoefficient as similarity measure, and use the mean shift procedure to perform the optimization. In thepresented tracking examples the new method successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data association techniques is alsodiscussed. We describe only few of the potential applications: exploitation of background information, Kalman tracking using motion models, and face tracking .
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Size: 2779136 |
Author: |
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Description: 本人自己开发的一个人脸检测程序，实现人脸的精确检测，可检测人脸的轮廓，有效去除了背景干扰，对环境依赖行小，希望对做人脸检测的朋友们有所帮助是Dll的-this source code is about face detection which is developed by myself, it achieve the accurately face detection. it can detect the contour of face, and can remove the background effectively. it can be applied on many illumination enviroment.
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Size: 2426880 |
Author: 李伟 |
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Description: 擅 蔓：以人脸的表情识别为实验背景， 分析了在对人脸表情的识别过程中，单个独立分薰对识别率的影响，由此进一步总结了在表情识
别中如何更有效地选取独立子空间，以实现在不影响识别率的前提下，减少用于构成独立子空问所需的独立分量的个数。 独立成分分析；表情识别；独立子空间 -Good man: Face to face identification for the experimental background, the analysis of facial expressions in the identification process, a single smoked separate the impact of the recognition rate, thus further summarized in the expression recognition of how to more effectively select the independent sub-space in order to achieve the recognition rate does not affect the premise, for constituting a separate sub-reducing space required for the number of independent component. Independent component analysis expression recognition independent subspace
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Size: 272384 |
Author: 金振东 |
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Description: 本程序可以进行视频的动态提取背景，使用的是高斯模型使用前请配置好opencv环境。希望对大家学习人脸检测有所帮助-This procedure can extract the dynamic video background, using a Gaussian model configured before use opencv environment. We would like to learn helpful Face Detection ...
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Size: 4557824 |
Author: baiyang |
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Description: 自己写的一个基于摄像头的人脸检测程序,通过对背景差分，利用积分投影法定位人脸区域。-A camera-based face detection process written by myself, through the difference of the background, using integral projection region face targeted.
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Size: 4256768 |
Author: justus |
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Description: 论文算法的实现"A simple and accurate face detection algorithm in complex background"-Implementation of the paper:
"A simple and accurate face detection algorithm in complex background"
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Size: 2048 |
Author: 李 |
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Description: A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects,
is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel. The
masking induces spatially-smooth similarity functions suitable for gradient-based optimization, hence, the target localization problem
can be formulated using the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya coefficient as
similarity measure, and use the mean shift procedure to perform the optimization. In the presented tracking examples, the new method
successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data
association techniques is also discussed. We describe only a few of the potential applications: exploitation of background information,
Kalman tracking using motion models, and face tracking.
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Size: 2459648 |
Author: Ali |
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Description: 都是用matlab写的，复制到txt上了
（1）基于简单背景的人脸监测，针对视频，效果还不错，传的是txt，大家新建一个M文件，复制，然后把视频名与程序中的改成一致就可以了。
（2）对多椭圆的检测，非实际图像，无噪声，就是简单的椭圆，使用同上。-Are written with matlab, copy to the txt on the (1) human face based on a simple background monitoring, for video, the results were good, communication is the txt, you create a new M file, copy, and then the video name and program The change in line on it. (2) the detection of multi-elliptical, non-real image, no noise, that is a simple oval, use ibid.
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Size: 2048 |
Author: sss |
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Description: 本文设计基于DCT的人脸识别系统，首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用；然后研究了人脸识别进行预处理，讨论了人脸识别预处理的其他方法，分析各种方法的利弊，最后采用DCT（离散余弦变换）实现人脸图像预处理中的降维处理；接下来对人脸图像的特征提取进行了研究，简单叙述了几何特征提取和代数特征提取，同时深入研究了基于DCT和PCA变换的人脸图像特征提取，从而实现是否对人脸识别系统识别率有所提高的研究；对于分类器的选择，本文对两种分类器进行了探讨，即最近邻分类器和BP神经网络分类器，同时采用BP神经网络分类器作为本次基于DCT的人脸识别系统设计的分类器，并对BP神经网络进行分类的算法进行设计，BP神经网络具有学习功能，只要采用本系统对训练图片进行训练，就可以记下图像的相关信息，对于测试图片，就可以很准确的识别出该图片是属于哪个的。最后，本文对整个人脸识别系统设计实验进行了实验分析，实验结果表明本文采用的方法切实有效。- This is the design of the DCT-based face recognition systems. First of all, the background light of the current face recognition and face recognition to discuss the development of research in all aspects of content and applications And then studied the pretreatment of face recognition to discuss the pre-treatment of other face recognition methods,and analysis of the pros and cons of various methods, finally, the use of DCT (discrete cosine transform) image pre-processing to achieve in the face of the reduced-order processing Next on the face image feature extraction have been studied, A brief description of the feature extraction and algebraic geometry feature extraction, while in-depth study based on the DCT and the PCA Transform face image feature extraction in order to achieve face recognition system to identify whether the rate of increase in the research For the choice of classifier, this paper carried out on two of classifier, that is, nearest neighbor classifier and BP neura
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Author: 刘文珍 |
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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: 生物特征识别技术作为一种身份鉴别手段具有独特的优势。在生物特征识别系统中, 采集数据的预处
理是不可或缺的环节。以人脸识别为例, 介绍了一种在复杂背景的彩色图像中, 基于颜色和知识的生物特征预处理
方法。首先利用颜色信息从图像中分割出类肤色区域, 然后运用人脸几何特征和眼睛的提取定位人脸。仿真实验表
明, 该算法能较为准确地定位彩色图像中的正面或小角度偏转的人脸, 具有较快的运算速度。-Biometrics as an identification tool has a unique advantage. In biometric systems, collect data preprocessing is an indispensable link. To face recognition, for example, presents a complex background in color images based on color and knowledge of the biological characteristics of pretreatment. The first to use color information to separate out the classes from the image color region, and then use face extraction of geometrical features and eye positioning face. Simulation results show that the algorithm can be more accurately locate color images in a positive or small-angle deflection of the face, with a faster computational speed.
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Size: 211968 |
Author: hope |
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