Description: gaussian_model,color based segmentation,draw ellipse may used in face detection-gaussian_model. color based segmentation. draw ellipse may used in face detection Platform: |
Size: 5507 |
Author:祝颖 |
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Description: gaussian_model,color based segmentation,draw ellipse may used in face detection-gaussian_model. color based segmentation. draw ellipse may used in face detection Platform: |
Size: 5120 |
Author:祝颖 |
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Description: 基于YCrcb肤色模型的人连检测系统.用VC++实现.还包括人脸、眼睛、嘴巴的定位分割。-YCrcb color model based on the long-detection system. With VC. Also including face, eyes, Segmentation mouth positioning. Platform: |
Size: 776192 |
Author:孙杰 |
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Description: Simple face and eye detection
MATLAB Release: R13
You can use this codes for face detection based on color segmentation and eye region detection.
Platform: |
Size: 2129920 |
Author:薛正亮 |
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Description: 对一幅带有人脸信息的24位真彩色bmp文件,通过基于肤色信息的彩色图象分割法,对人脸区域的检测,以及区域标定-On a piece of information with a human face 24 true color bmp files, color information based on color image segmentation method of human face region detection, as well as regional calibration Platform: |
Size: 771072 |
Author:王媛琼 |
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Description:
基于肤色的人脸检测方法，包括肤色模型建立和肤色分割过程两大部分内容。在比较了颜色空间和两种模型后，选择了在 YCbCr 空间建立高斯模型。输入图像经过相似度计算、阈值分割、最后得到人脸区域。-Based on the color of the face detection methods, including color, model and color segmentation process most of the contents of the two. In comparing the color space and the two models, the choice in the YCbCr space to establish Gaussian model. After the input image similarity computation, threshold segmentation, and finally get face region. Platform: |
Size: 1524736 |
Author:刘向阳 |
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Description: Summary: Simple face and eye detection
MATLAB Release: R13
Description: You can use this codes for face detection based on color segmentation and eye region detection. -Summary: Simple face and eye detection MATLAB Release: R13 Description: You can use this codes for face detection based on color segmentation and eye region detection. Platform: |
Size: 2166784 |
Author:风帆 |
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Description: 基于肤色的人脸检测定位算法，程序可以实现人脸的服色检测，分割，眼睛，等的定位-Based on the color of the face detection algorithm, the program can realize the service face-color detection, segmentation, eyes, such as the positioning of Platform: |
Size: 3621888 |
Author:www |
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Description: 人脸检测和跟踪学位论文；人脸检测定位：运动区域检测预处理， 肤色区域的分割和利用二值形态学等操作的人脸粗检，利用眼、嘴特征的彩色信息检测的人脸细检，利用投影法检测眼睛和嘴巴亮块的人脸定位。提出了一种基于自适应肤色模型匹配与验证的方法对人脸进行跟踪-Face detection and tracking dissertation Face Detection positioning: Sports regional detection pretreatment, color region segmentation and the use of binary morphological operations, such as human faces rough seizure, the use of eyes, mouth features detection of color information Face Fine Frederick, using projection method bright eyes and mouth block face positioning. A model based on adaptive color matching and validation of the method of face tracking Platform: |
Size: 3622912 |
Author:田卉 |
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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: 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:
Color Segmentation
This demo tracks a person s face and hand using a color-based segmentation method. Platform: |
Size: 12288 |
Author:radim.rh |
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Description: 基于肤色分割和SVM的人脸检测的MATLAB 代码，主要是利用YCgCr来来进行肤色建模，然后结合SVM进行检测。 希望对您有所帮助！-Based on skin color segmentation and SVM Face Detection MATLAB code, mainly used to carry out color YCgCr to model, and then tested with SVM. Want to help you! Platform: |
Size: 5120 |
Author:shen |
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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: 基于模板匹配和肤色检测的人脸检测，包括肤色分割，类似人脸区域检测，模板调整及模板匹配的代码-Template matching and color-based face detection testing, including skin color segmentation, similar to the face region detection, templates and template matching to adjust the code Platform: |
Size: 1180672 |
Author:孟田田 |
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Description: This paper presents a new human skin color model in
YCbCr color space and its application to human face
detection. Skin colors are modeled by a set of three
Gaussian clusters, each of which is characterized by a
centroid and a covariance matrix. The centroids and
covariance matrices are estimated from large set of
training samples after a k-means clustering process. Pixels
in a color input image can be classified into skin or nonskin
based on the Mahalanobis distances to the three
clusters. Efficient post-processing techniques namely noise
removal, shape criteria, elliptic curve fitting and faceinonface
classification are proposed in order to !inther refine
skin segmentation results for the purpose of face detection. Platform: |
Size: 220160 |
Author:陆 |
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Description: 本代码实现了基于肤色的人脸分割程序，代码采用Matlab编写，包含了四个测试样例和结果分析。-This is matlab code about face detection based on face color. Platform: |
Size: 270336 |
Author:李妙鹏 |
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Description: 基于肤色的图像分割，人脸检测，讲图像分成小格，分别检测(Color based image segmentation, face detection, speaking of images into small squares, respectively, detection) Platform: |
Size: 182272 |
Author:feifan123
|
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Search - color based face segmentation