Description: 基于YCbCr空间下，利用椭圆肤色模型进行肤色检测。运行效果不错，附有肤色图片-Based on YCbCr space, using the elliptical skin model skin detection. Runs good results, with color pictures Platform: |
Size: 9216 |
Author:刘佩如 |
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Description: YCBCR颜色空间模型，基于YCBCR颜色空间的肤色检测实现-YCBCR color space model, based on the color space skin detection YCBCR implementation Platform: |
Size: 22659072 |
Author:zouguoqi |
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Description: 将rgb空间，转为HSV或yCBCR空间实现通过肤色检测人脸区域，用openCV实现-The rgb space to HSV space to achieve through the skin or yCBCR face region detection with openCV achieve Platform: |
Size: 4440064 |
Author:汪前 |
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Description: 针靖目前人脸检测方法遵度与精度难以兼有的问题。本文提出了一种嬉合离斯横甓和党持向量机的人膝检测方法。
先载用皮肤颜色在YCbCr窒阍鲢聚类性。蛄肤色建立高斯模型以分制虫可能的人脸菇域。露将迭臻区域输入捌支特向量机
检测并标记出检攫ll结暴!实验结暴证瞬。本文提出的方法捡溅效装令人满意。-Needle Jing compliance degree of accuracy of the face detection method is difficult to both problems. This paper presents a play co-the knee detection method from the people of Sri Lanka cross Pi and the party held vector machine. First set out with skin color clustering of in YCbCr smothering steel silver carp. The Squilla color to create a Gaussian model insects may face a points system mushroom domain. Exposed Diego Pegasus regions to input Ba support special vector machine to detect and mark the seized grab ll junction storm! The experimental junction storm certificate instantaneous. In this paper, the method of picking the splash effect fitted satisfactorily. Platform: |
Size: 362496 |
Author:东方 |
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Description: Digital image face detection had been developing so much in this last decade. The searching for the best
method is still walking until today. This face detection research is using color model based segmentation method
combined with template matching. There are 4 main process in this research. First, motion detection is used to
minimize the size of the image by subtracting image n with image n+m. Then, by using YCbCr color model based
segmentation, the image is separated by skin color area and non-skin color area. Third, is to reduce the noise by
using the blurring way and by filtering its wide. The last one is matching the area that last with template that has
been prepared to detect which area is face. The result of the research, from 217 images and 10 videos , shows
that this method reach up to 70,5 face detection accuration procentage.-Digital image face detection had been developing so much in this last decade. The searching for the best
method is still walking until today. This face detection research is using color model based segmentation method
combined with template matching. There are 4 main process in this research. First, motion detection is used to
minimize the size of the image by subtracting image n with image n+m. Then, by using YCbCr color model based
segmentation, the image is separated by skin color area and non-skin color area. Third, is to reduce the noise by
using the blurring way and by filtering its wide. The last one is matching the area that last with template that has
been prepared to detect which area is face. The result of the research, from 217 images and 10 videos , shows
that this method reach up to 70,5 face detection accuration procentage. Platform: |
Size: 649216 |
Author:salman |
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Search - skin detection with YCbCr