Description: 便于使用的收集人脸图像建立数据库的工具程序。供人脸检测/识别/表情/姿态等模式识别、人工智能领域的研究者使用。可以方便地从网页中收集人脸照片，提供良好的交互界面对照片在模式识别，尤其是biometric领域中所需的各种属性进行标注，建立数据库。-easy-to-use collection of facial image database tools procedures. For Face detection/identification/expression/gestures, such as pattern recognition, artificial intelligence researchers in the field use. Can easily collected from the website pictures of faces with a good interface for photos in pattern recognition, particularly biometric field for the various attributes tagging, the establishment of databases. Platform: |
Size: 60416 |
Author:冯雪涛 |
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Description: ORL人脸库，可以用于人脸识别和人脸检测！-ORL face database, can be used for face recognition and face detection! Platform: |
Size: 3080192 |
Author:zang |
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Description: 是一套集图象处理、人脸检测和人脸识别以及人脸图像数据库管理于一体的完整识别系统。-Is a set of image processing, face detection and face recognition and face image database management in one complete recognition system. Platform: |
Size: 964608 |
Author:berger |
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Description: 本代码可以实现人脸检测的功能.检测的成功率随图象库的增大而增大.-This code can realize the function of face detection. Detection success rate with the image database increases. Platform: |
Size: 239616 |
Author:zhaohao |
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Description: orl人脸库，供人脸检测及识别用，国内很难找的-ORL face database for face detection and identification with, the domestic hard to find the Platform: |
Size: 5609472 |
Author:dqy |
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Description: yale 人脸识别库，是标准的人脸检测与识别的数据库。可靠性强。-Yale face recognition database, is a standard face detection and recognition database. Reliability. Platform: |
Size: 402432 |
Author:betty |
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Description: 在Yale 人脸库上运用PCA＋SVM的方法实现了人脸检测，并统计识别率-In the Yale face database using PCA SVM method achieved a face detection and recognition rate statistics Platform: |
Size: 5402624 |
Author:舟子还 |
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Description: ORL人脸数据库，进行人脸识别、人脸检测等国际公认数据库-ORL face database, for face recognition, face detection and other internationally recognized database Platform: |
Size: 5110784 |
Author:小菲 |
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Description: 图像为人脸检测使的图像数据库this is a library for face detection-Human face detection image of the image database so this is a library for face detection Platform: |
Size: 46080 |
Author:Tqing |
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Description: 基于肤色分割的人脸检测，有肤色分割，排除假区域，特征验证
-Color segmentation based on face detection, color segmentation there, removal leave the region, feature verification Platform: |
Size: 1024 |
Author:zhaowenbin |
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Description: 摘 要： 提出了一种基于改进 Ha u s d o r f f距离的人脸相似度匹配的方法， 该方法首先将人脸划分为脸型、 双眼、 鼻、 嘴等几个特征点
集， 分别计算各部分的改进 Ha u s d o r f f 距离， 然后进行加权计算相似度。利用该方法， 在 A S M( 主动形状模型) 定位人脸的基础上进
行了人脸检索。 实验表明， 利用人脸相似度计算方法对人脸特征库进行搜索， 达到 了较好的效果。同时结合 A S M 自动人脸检测， 本
方法可以全自动完成人脸匹配， 应用于人脸识别及数字娱乐等领域。-Abstract: This paper presents a distance based on an improved Ha usdorff face similarity matching method, which will first face is divided into face, eyes, nose, mouth, and several other feature point sets, were calculated to improve the various parts of Ha usdorff distance, and then weighted similarity. Using this method, in the ASM (active shape model) positioned on the basis of human face human face retrieval. Experiments show that the use of face similarity calculation method for facial feature database to search, to achieve good results. ASM automatically combined with face detection, this method can be completed fully automatic human face matching, used in face recognition and digital entertainment and other fields. Platform: |
Size: 202752 |
Author:alsocc |
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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.
Platform: |
Size: 2751488 |
Author:minu |
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Description: 论文提出一种全自动识别人脸七种基本表情(愤怒、厌恶、恐惧、高兴、无表情、悲伤和惊奇)的方法。该方法首先
采用几何模型匹配法自动定位出人眼，在此基础上进行人脸大小归一化，然后利用局域二值模式(Local Binary Pattern．
LBP)技术提取面部特征，最后采用由粗到细的方案进行表情分类。采用日本的JAFFE公用表情数据库来检测算法的性
能，实验结果验证了方法的有效性。-Paper proposes a fully automatic identification of seven basic facial expressions (anger, disgust, fear, happy, neutral, sadness, and surprise) method. In this method, the geometric model matching method with automatic positioning to human eyes, in this based on the human face of Size Normalization and then use local binary pattern (Local Binary Pattern. LBP) Jishu extract facial features, and finally using coarse-to- fine program expression classification. Public expression of Japan' s JAFFE database performance detection algorithm, experimental results verify the validity of the method. Platform: |
Size: 171008 |
Author:MJ |
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Description: ORL人脸库，可以用于人脸检测识别用，在 ORL 人脸库中，有 400 幅分辨率为92*112，具有不同表情、不同姿势、稍许倾斜(不超过20度)、稍许遮掩的图像-ORL face database, face detection and recognition can be used for the ORL face database, there are 400 92* 112 resolution, with different expressions, different posture, a slight tilt (not more than 20 degrees), slightly obscured Image Platform: |
Size: 3082240 |
Author:sunny |
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Description: 此文的目的有三个：第一，当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次，注册稀疏Winnows网络分割，提出了加快原分类。最后，特点和分类相结合对于正面人脸检测任务。检测结果列
为MIT + CMU系统和BioID数据库。关于这人脸检测器，接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabcentral/fileexchange/
loadFile.do？的ObjectID = 13701＆的objectType =FILE下载。
-The purpose of this paper is threefold: firstly, the local Successive
Mean Quantization Transform features are proposed for illumination
and sensor insensitive operation in object recognition. Secondly, a
split up Sparse Network of Winnows is presented to speed up the
original classifier. Finally, the features and classifier are combined
for the task of frontal face detection. Detection results are presented
for the MIT+CMU and the BioID databases. With regard to this
face detector, the Receiver Operation Characteristics curve for the
BioID database yields the best published result. The result for the
CMU+MIT database is comparable to state-of-the-art face detectors.
A Matlab version of the face detection algorithm can be downloaded
from http://www.mathworks.com/matlabcentral/fileexchange/
loadFile.do?objectId=13701&objectType=FILE. Platform: |
Size: 1397760 |
Author:霞 |
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Description: 针对LBP的人脸检测算法的文章3篇，区别于adaboost的人脸检测算法，opencv有相应的训练数据库。-For three of the articles of the LBP face detection algorithm, the face detection algorithm is different from adaboost, opencv training database. Platform: |
Size: 1721344 |
Author: |
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Description: 基于K-L变换的人脸识别技术主要思想是：提取输入人脸图像矩阵的特征向量，并与图像数据库中样本特征的向量求欧氏距离，距离小于阈值时便认为识别成功。本程序即为利用K-L原理实现人脸检测的实例。-The main idea of the face recognition technology based on KL transform is: extract the matrix of the input face image feature vectors and Euclidean distance, the distance is less than the threshold sample feature vector image database and thinks that the recognition success. The program is the use of the KL the principle face detection instance. Platform: |
Size: 4096 |
Author:guocheng |
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