Description: 人脸的检测与定位(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。)-Face Detection and Location (pretreatment, using a special facial features enhanced facial skin and the contrast between local and from the threshold value of two methods to improve the effectiveness of the pretreatment. Image segmentation, to achieve the classic division algorithm, and the use of group Algorithm the division results. in the face matching, based on the realization of the eyes and mouth of the geometric model matching, as well as evaluation of the structure function were studied.) Platform: |
Size: 10977526 |
Author:wfw |
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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: 1021032 |
Author:苗夏菁 |
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Description: 人脸的检测与定位(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。)-Face Detection and Location (pretreatment, using a special facial features enhanced facial skin and the contrast between local and from the threshold value of two methods to improve the effectiveness of the pretreatment. Image segmentation, to achieve the classic division algorithm, and the use of group Algorithm the division results. in the face matching, based on the realization of the eyes and mouth of the geometric model matching, as well as evaluation of the structure function were studied.) Platform: |
Size: 10977280 |
Author:wfw |
Hits:
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: |
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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 |
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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 |
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Description: 人脸表情识别代码，演示了识别过程中每个步骤，通过肤色变化提取人脸区域，寻找最大联通区域，人脸区域二值化，左眼、右眼嘴唇分割和边缘提前，最后通过三个特征进行表情识别。包含测试图片。-Facial expression recognition code demonstrates each step in the identification process, by the color change of extract facial area, looking for maximum Unicom area the face region binarized, segmentation and edge ahead of the left eye, right eye and lips, and finally by three The features of facial expression recognition. Includes test images. Platform: |
Size: 2848768 |
Author:huangzhong |
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Description: adaboost人脸分割,通过adaboost方式，把人脸部的特征切割出来，方便用pca算法处理之类的。-adaboost face segmentation by adaboost way, the people cut out facial features, easy handling and the like pca algorithm used. Platform: |
Size: 12924928 |
Author:xuepng |
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Search - Facial Features Segmentation