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[Graph RecognizeFacialFeature

Description: 面部特征定位,主要是眼睛、鼻子和嘴巴的特征定位。-positioning facial features, mainly the eyes, nose and mouth features positioning.
Platform: | Size: 2173952 | Author: 王城 | Hits:

[Software Engineeringrldw

Description: 本文对几何模型匹配方法进行了研究,提出了一套完整的人脸定位算法。在预处理部分,采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法,改进了预处理的效果。在图像分割部分,实现了经典的分合算法,并且使用成组算法改进了分合的效果。在人脸匹配部分,实现了基于眼睛和嘴的几何模型匹配,并对评价函数的构造进行了研究-geometric model of this matching method for the study and submit a complete set of facial positioning algorithm. In preprocessing, using a special facial features enhanced facial skin and the contrast between the methodology and obtain local threshold value of the two methods, improved the pretreatment results. Image segmentation, the realization of the classical division algorithm, and the use of group division algorithm improved results. Face in the match, based on the realization of the eyes and mouth of the geometric model matching and evaluation function of the tectonic study
Platform: | Size: 1020928 | Author: | Hits:

[Special Effectsface123[matlab]

Description: 在本设计中源于将图像看作随机场的实例,同时从信号处理的观点出发,对图像进行统计描述。通过K-L变换降低人脸特征的维数,提取人脸图像的代数特征,并排序。这样,利用代数特征的比较,可从人脸库中识别一幅人脸。-in the design of the images from the airport as with the examples, from the viewpoint of signal processing, right image descriptive statistics. Through K-L transform facial features to reduce the dimension, extracting facial image algebraic characteristics, and sorting. Thus, the use of algebra, from the human face an identifiable face.
Platform: | Size: 15360 | Author: hhh | Hits:

[Graph programfacial_features_detection

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 | Hits:

[DocumentsMethodofFacialExpressionRecognition

Description: 为了更准确地识别人的表情,在识别人脸7 种基本表情(愤怒、厌恶、恐惧、高兴、无表情、悲伤和惊讶)时,采用了局域二值 模式技术提取面部特征,进行由粗略到精细的表情分类。在粗略分类阶段,7 种基本表情中的2 种表情被选为初步分类结果(候选表情)。 在精细分类阶段,选用计算加权卡方值确定最终分类结果。采用日本的Jaffe 表情数据库来验证算法性能,对陌生人表情的识别率为77.9%, 其结果优于采用同样数据库的其他方法,且易于实现-In order to more accurately identify the person s facial expressions, in the identification of seven kinds of basic facial expressions (anger, disgust, fear, happy, expressionless, sadness and surprise), the use of local binary pattern of facial features extraction techniques, carried out by the rough to the fine expression classification. In the rough classification stage, the seven kinds of basic expressions in the two kinds of expression was selected as the initial classification results (candidate expressions). In the fine classification stage, the choice of calculating the weighted chi-square value to determine the final classification results. Jaffe expressions used in Japan to validate algorithm performance database of strangers face recognition rate was 77.9, the result is better than using the same database in other ways, and are easy to achieve
Platform: | Size: 212992 | Author: 张波 | Hits:

[Bio-Recognizeface-recognition-and-eye-locating(2008-1-14)

Description: 人脸检测和人的五官定位,好几种实现方法。-Face detection and facial features of the positioning of several methods.
Platform: | Size: 17287168 | Author: 胡恩良 | Hits:

[Graph RecognizeEigenface

Description: 脸部特征提取 最近看到的 可以下载看看 挺好玩的-Facial feature extraction can be downloaded recently seen look very good playing
Platform: | Size: 28672 | Author: 张华振 | Hits:

[Graph Recognize11111

Description: 人脸检测和人的五官定位!很不错的网站!好好好好好!-Face detection and location of facial features! Very good site! Good good good!
Platform: | Size: 243712 | Author: 李丽 | Hits:

[Graph programeigface

Description: 基于ORL人脸库的人脸识别的特征人脸的提取源代码。-Based on the ORL face database for face recognition facial features extraction source code.
Platform: | Size: 4096 | Author: yuzhun21 | Hits:

[2D Graphicmomentdctprot

Description: 这是一个人脸识别程序能够在脸部移动的同时识别脸部特征.-This is a face recognition program moving in the facial recognition facial features at the same time.
Platform: | Size: 11264 | Author: homomakaka | Hits:

[Graph Recognizedetect

Description: 简单的人物脸部特征检测,采用OPENCV库-Simple characters facial features detection, the use of OPENCV library
Platform: | Size: 3072 | Author: pa | Hits:

[Graph RecognizeFaceDetection_Based_on_a_New_Nonlinear_Color_Space

Description: 提出一种新的非线性变换的彩色空间 ″″, 利用次高斯概率分布函数拟合皮肤色度信息, 得到候选区 YC C r b 域。为了排除候选区域中的非人脸, 首先根据均值和方差信息分割出候选区域中的纹理特征信息, 再通过多尺度 ) ( 信息定位眼睛, 然后根据人脸特征的几 形态边缘检测算子检测候选区域的边缘, 利用 边缘方向 PCA PCAED ( ) 何形状信息定位其他特征 鼻、嘴 , 通过这些几何特征信息对肤色分割得到的候选区域进行验证, 最终得到正确 的人脸区域。利用3 个实验数据集测试该算法, 并与其它相应的算法相比较, 提出的非线性彩色空间对于肤色分 割具有很好的效果, 且对光照和姿态具有良好的不变性。另外, 利用 信息和几何特征信息检测人脸特征 PCAED 具有很高的定位精度, 定位检测率优于其他方法。实验结果表明, 该算法具有定位准确率高, 漏检率和误检率低 等特点。- A novel approach for skin segmentation and facial feature extraction is proposed The proposed skin segmentation is a method for integrating the chrominance components of ″″ . ″″ r b r b nonlinear YC C color model The chrominance components of nonlinear YC C color space , are modeled using a subgaussian probability density function and then the face skin is seg . , mented based on this function In order to authenticate the face candidate regions firstly tex ture information in face candidate regions is segmented using mean and variance of luminance , . , information and then the eye is located by the PCA edge direction information Finally the , , others features such as nose and mouth also are detected using the geometrical shape infor . 2 , mation As all the above mentioned techniques are simple and efficient the skin segmentation . based on nonlinear color spacemethod has the invariability of lighting and pose In the experi , . ments themethod has been successfull
Platform: | Size: 458752 | Author: zz | Hits:

[Graph Recognizeccma

Description: 人脸识别算法源码,该算法用于提取人脸中的非线性特征-Source face recognition algorithm, the algorithm used to extract facial features of the non-linear
Platform: | Size: 2048 | Author: 唐金良 | Hits:

[OtherBU-3DFE

Description: 国外有关三维人脸表情识别的文献。IEEE上面的,有兴趣的可以看看。-Automatic Registration of Vertex Correspondences for 3D Facial Expression Analysis. 3D facial expression recognition based on automatically selected features. 3D facial expression recognition with geometrically localized facial features. 3D facial expression recognition using swarm intelligence. Analyzing Facial Expressions Using Intensity-Variant 3D Data For Human Computer Interaction.
Platform: | Size: 7428096 | Author: | Hits:

[Graph Recognizefacerecgnizesys

Description: 图象处理,边缘检测提取,定位特征区域对人面部进行识别-Image processing, edge detection extraction, Positioning human facial features of the region to identify
Platform: | Size: 244736 | Author: qu | Hits:

[Special EffectsFace_test_luminance

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 | Hits:

[Documentsrennian

Description: 一种基于肤色分割、区域分析和模板分布的彩色图像人脸检测算法.首先对输入的彩色图像利用混合高斯模型和亮度模型进行分割,然后根据人脸五官的结构特征对得到的区域进一步分析处理,获得所有可能的候选人脸.接着构造了一种基于双眼和人脸模板的概率模型并利用其对候选人脸进行最终检测.-Based on skin color segmentation, regional analysis and the template in color images of face detection algorithm. First, the input color image using mixture Gaussian model and the brightness model segmentation, then under the facial features of the structure on further analysis by region treatment to obtain all possible candidates face. then constructs a template based on the eyes and face the probability model and use its candidates face final test.
Platform: | Size: 586752 | Author: 麦高 | Hits:

[Special EffectsHarris

Description: 研究一种红外医学图像处理与分析方法,实现红外人脸图像中特征区域的自动定位。方法 针对红外正面脸部图像,采用一种无监督的局部和全局的特征提取方法,首先通过阈值法区分出前景和 背景,并根据面部特征对称性在前景中确定鼻区 然后在面部确定一个包含所有特征的矩形区域,利用 Harris算子在该区域检测出角点,并找出这些点的局部最大值点 最后用K-means方法对这些点进行 聚类 -To develop an mi age analyzing procedure forautomatic localization of facial fea- tures on infrared mi ages.M ethodsAn unsupervised localand global features extractionmethodwas adopted for the localization of facial features of frontalview face mi age. First, a thresholdwas used to segment the mi age into foreground and background, and the nose was localized by considering the symmetry of the face. Second, Harris operatorwas adopted to detect interest points in a rec- tangulararea covering allthe facial features, and then localmaxmi um of the interestpointswere de- tected. And finally, K-means clusteringmethodwas used to cluster the points and obtain the facial features localization.
Platform: | Size: 165888 | Author: 高雪 | Hits:

[Special Effectsfacial-features-cartoon-

Description: 基于人脸特征分析的卡通人脸动画系统--特征变形-Analysis based on facial features cartoon facial animation system- deformation characteristics
Platform: | Size: 1438720 | Author: xufeng97 | Hits:

[OpenCVface-and-facial-features-using-haar-classifiers.z

Description: face and facial features using haar classifiers
Platform: | Size: 14336 | Author: anusha kodavati | Hits:
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