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YCgCrandSVM
- 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 he
renyanjiance
- 基于YCgCr色彩空间与几何信息的人眼定位方法-YCgCr color space and geometry based on the information the human eye location methods
YCgCr_detect
- 基于YCgcr肤色空间的自适应阈值分割的算法，本人根据论文《YCgCr颜色空间的肤色聚类人脸检测法》原创-YCgcr color space based adaptive thresholding algorithm, I am under the thesis " YCgCr color clustering color space face detection method" original
camera
- android视频采集处理代码，包括YUV转RGB，及RGB转YCgCr等转换，并提供常用的数字图像处理算法，如平滑算法、滤镜算法及直方图均衡法。-android video acquisition and processing code, including YUV to RGB, and RGB to YCgCr such as conversion, and provide a common digital image proce
skindetc
- 肤色检测，里面还有RGB到YCgCr的转换，设置相应阈值，可以检测到在YCgCr下的肤色区域。-skin detection in RGB and RGB to YCgCr
ycgcr
- 采用ycgcr颜色空间进行肤色分割，效果比较好。-Using ycgcr color space for skin color segmentation, the results were quite good.
ycgcr-Dectio
- 这是一种基于新颜色空间YCBCR的人脸检测算法，取得了较好的效果-This is a face detection algorithm based on the YCBCR people of a new color space, and achieved good results
013639
- 关于YCgCr的图像处理源代码，可以运行，希望共同学习-About YCgCr image processing source code, you can run, we hope to learn together
face-rgb-hsv
- 人脸识别肤色之间相互转换RGB/HSV/ycgcr以及各自的功能介绍-Face color conversion between RGB/HSV/ycgcr and their functions Introduction
YCgCrm
- 基于YCgcr肤色空间的自适应阈值分割的算法，本人根据论文《YCgCr颜色空间的肤色聚类人脸检测法》-YCgcr color space based adaptive thresholding algorithm, I am under the thesis YCgCr color clustering color space face detection method
double-ellipses-skin-color-model
- 在复杂背景下双椭圆模型结合在CbCr和CgCr平面内体现的肤色聚集性和集中性的检测效果要比单高斯模型的效果好。在YCbCr和YCgCr颜色空间中，虽然Y分量和Cb、Cr、Cg分量表示的性质看似是相互独立的，但它们都是建立在红、绿、蓝三个基本颜色分量值的基础上算出来，因此它们之间仍然存在着千丝万缕的关系。根据肤色在两种色彩空间中体现出的聚集性提出CbCr-CgCr双椭圆肤色模型-Good background in complex dua
YCgCr_detect
- 以YCgCr和YCbCr颜色空间为基础，分别建立了平行四边形模型和椭圆模型，采用光照补偿法对图像进行预处理，从而避免了光照不均对检测结果所造成的误差。-Based on the YCgCr and YCbCr color spaces, the parallelogram model and the ellipse model are established respectively. The image is pretreated b