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: 人脸检测和表情识别的动态链接库，并且含有C++调用的例子，非常适合研究人脸识别和表情识别！-face detection and expression recognition of the dynamic link library, called C and contain examples very suitable for the study face recognition and facial recognition! Platform: |
Size: 272384 |
Author: |
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Description: 針對單一人臉做出五官的檢測定位,並在人臉上畫出五官的方框作為表示.-For a single human face detection features make positioning, and his face painted in the box as an express facial features. Platform: |
Size: 3072 |
Author:李毅駿 |
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Description: 在人脸检测的基础之上,对嘴部的运动表情进行分析,进行语音模拟.-In the face detection based on the movement of the mouth expression analysis, the voice synthesizer. Platform: |
Size: 115712 |
Author:姚庆杏 |
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Description: 对由光源颜色变化引起的图像色彩偏差,进行了校正,并在YCbCr颜色空间建立了Cb-Cr色度查找表和亮度信息联合的肤色模型,应用预处理技术,去除部分非人脸区域,减少人脸检测的搜索空间,并采用模板匹配方法在人脸候选区域检测人脸.实验表明,该方法能够有效的从复杂环境的彩色图像中检测出左右旋转不超过45°的人脸,且不受人脸表情、尺度和数目的影响,且错误率较低.-Color by the light source caused by the change of image color deviation, a correction, and YCbCr color space established a Cb-Cr chrominance and luminance information look-up table of the color model of the joint application of pre-treatment technology, to remove some non-human face region, Face detection to reduce the search space, using a template matching method in the face candidate region detection of human faces. experiments show that the method can be effective in complex environments from color images detected no more than about 45 ° rotation of the human face, and from Facial Expression, scale and number of impact, and lower error rate. Platform: |
Size: 191488 |
Author:lll |
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Description: 在广泛研究前人工作的基础上，本文对运动人物的检测、跟踪与识别进行了综述。为
使分类清楚明了，本文将人物运动分析分为两大类：人体运动分析，人脸分析。人体运动分
析包括人的较大幅度的肢体运动，如手势识别、步态分析、整个人体的运动分析；人脸分析
包括人脸检测与识别、表情分析。在详细介绍了国内外研究现状后，提出了存在的问题及研
究前景。-Extensively studied in previous work on the basis of the figures in this article on the movement detection, tracking and recognition are reviewed. To enable a clear understanding of classification, motion analysis of figures in this article will be divided into two categories: human motion analysis, analysis of human faces. Analysis of human motion including the relatively large body movements, such as gesture recognition, gait analysis, motion analysis of the human body Facial analysis includes face detection and recognition, facial expression analysis. In the study described in detail the status quo at home and abroad, the proposed study of the problems and prospects. Platform: |
Size: 357376 |
Author:martin |
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Description: 本程序实现hough变换。Hough变换是图像处理中从图像中识别几何形状的基本方法之一。Hough变换的基本原理在于利用点与线的对偶性，将原始图像空间的给定的曲线通过曲线表达形式变为参数空间的一个点。这样就把原始图像中给定曲线的检测问题转化为寻找参数空间中的峰值问题。也即把检测整体特性转化为检测局部特性。比如直线、椭圆、圆、弧线等。
-Hough transform this program. Hough transform image processing image recognition from the basic geometry methods. The basic principle of Hough transform is to use point and line duality, the original image space curve given expression through the curve of the parameter space into a point. This had given the original image in the detection curve into a parameter space to find the problem in the peak. That is, the overall characteristics of the detection of local features into testing. For example, a straight line, oval, round, arc and so on. Platform: |
Size: 14336 |
Author:cui ju |
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Description: 研究相关瑞利衰落信道上MIMO系统中组合发射机选择合并(SC)／4t-收机最大比合并(MRC)的天线分集系统性能。使用矩生成函数方法，推导相关瑞利衰落信道上采用组合SC／MRC天线分集和相干检测的M 进制相移键控(MPSK)，M进制正交幅度调制(MQAM)，M 进制脉冲幅度调制(MPAM)等几种M 进制数字调制方式的误符号率精确表达式。数值计算结果阐明相关性和天线阵结构对采用组合SC／MRC天线分集的几种M 进制数字调制方式的平均误符号率性能的影响。-Research related to Rayleigh fading MIMO channel transmitter system to choose the combined portfolio (SC)/4t-collection machine maximal-ratio combining (MRC) diversity antenna system performance. The use of moment generating function method, Rayleigh fading channel is derived using the relevant combination of SC/MRC antenna diversity and coherent detection of M-ary phase shift keying (MPSK), M M-ary quadrature amplitude modulation (MQAM), M-band pulse amplitude modulation (MPAM), such as several M-band digital modulation modes of expression of symbol error rate of accuracy. The numerical results clarify the relevance and structure of antenna arrays using combinations of SC/MRC antenna diversity of several M-band digital modulation of the average symbol error rate performance. Platform: |
Size: 238592 |
Author:dingyuwen |
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Description: A FFT-based partial matched filter (PMF)
acquisition threshold setting method for fast GPS acquisition is
presented. Normal distribution and numerical fitting technique
instead of real decision variable (DV) distribution are used in
derivation to approximate the threshold expression, and the
modification method for the threshold expression is also
presented. The threshold expression is based on the individual
FFT Doppler bin false alarm probability rather than the
convention whole detector false alarm probability. The
proposed threshold expression can be adjusted according to
the false alarm probability, the noncoherent accumulation
(NCA) length and the estimated noise variance. Furthermore
we discuss the implementation of zero-padding FFT with its
advantage and limitation. The performance is superior
compared to the reference method in terms of signal-to-noise
ratio (SNR) when detection and false alarm probabilities are
used as measurement criteria. Platform: |
Size: 280576 |
Author:zohreh |
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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: 人脸识别－仅对静态图片The output of this code is mainly required for feature detection or facial expression recognition purpose.
give the input(name of the image) at the 1st line of the facedetection.m file & run the file.
The face_database folder contain some images on which the code gave favorable output.
-The code will work with the images which don t have much brightness variation on the face.the face must be properly enlighten.
The output of this code is mainly required for feature detection or facial expression recognition purpose.
give the input(name of the image) at the 1st line of the facedetection.m file & run the file.
The face_database folder contain some images on which the code gave favorable output.
Platform: |
Size: 482304 |
Author:djh |
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Description: Real-Time Facial Feature Point Extraction-Localization of facial feature points is an important step for many subsequent facial image analysis tasks. In this paper, we proposed a new coarse-to-fine method for extracting 20 facial feature points from image sequences. In particular, the Viola-Jones face detection method is extended to detect small-scale facial components with wide shape variations, and linear Kalman filters are used to smoothly track the feature points by handling detection errors and head rotations. The proposed method achieved higher than 90 detection rate when tested on the BioID face database and the FG-NET facial expression database. Moreover, our method shows robust performance against the variation of face resolutions and facial expressions. Platform: |
Size: 871424 |
Author:Ng Jack |
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Description: 结合人脸肤色和发色进行的人脸检测，可以忽略人脸的姿态表情，不用进行人脸特征的定位-Combination of face color and hair color for face detection, facial gesture can ignore the expression, do not carry out the positioning of facial features Platform: |
Size: 1024 |
Author:gu |
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Description: Hough变换是图像处理中从图像中识别几何形状的基本方法之一。Hough变换的基本原理在于利用点与线的对偶性，将原始图像空间的给定的曲线通过曲线表达形式变为参数空间的一个点。这样就把原始图像中给定曲线的检测问题转化为寻找参数空间中的峰值问题。也即把检测整体特性转化为检测局部特性。比如直线、椭圆、圆、弧线等。
-Hough transform image processing image recognition from the basic geometry of one of the methods. The basic principle of Hough transform is to use point and line duality, the original image space, the curve of a given expression through the curve into a parameter space of a point. This put the original image in the detection of a given curve is transformed into a parameter space to find problems in the peaks. That is to detect the overall characteristics of transformation for the detection of local features. For example a straight line, ellipse, circle, arc and so on. Platform: |
Size: 24576 |
Author:王超 |
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Description: We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality reduction in input data while retaining those characteristics of the data set that contribute most to its variance, by keeping lower-order principal components and ignoring higher-order ones. Such low-order components contain the "most important" aspects of the data. The extracted feature vectors in the reduced space are used to train the supervised Neural Network classifier. This approach results extremely powerful because it does not require the detection of any reference point or node grid. The proposed method is fast and can be used for real-time applications. Platform: |
Size: 21504 |
Author:mhm |
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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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Search - expression detection