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Gesture
- 自己用opencv写的手势识别的软件。界面简单点，用动态前景分割肤色模型和直方图反演分割手部区域，然后用模式识别方法搞定识别问题。绝对原创，以后可能再也不搞这方面了，传上来跟大家分享-Own use opencv gesture recognition software to write. Interface simply, skin color model with dynamic foreground segmentation and histogram segmentation of ha
skindetector
- kin Pixel Likelihoods and Skin Detection --- --- --- --- --- --- --- ----- This Matlab code was developed for skin pixel detection in general imagery. Non-parametric histogram-based models were trained using manually annotated skin and
Complete-identification-including-skin-and-the-act
- 本文的目的是提供一个我开发的SSE优化的，C++库，用于人脸检测，你可以马上把它用于你的视频监控系统中。涉及的技术有：小波分析，尺度缩减模型（PCA,LDA,ICA），人工神经网络（ANN），支持向量机（SVM），SSE编程，图像处理，直方图均衡，图像滤波，C++编程，还有一下其它的人脸检测的背景知识-The purpose of this paper is to provide an I developed SSE optimized, C++ library, used for face d
skin_color
- 根据国外文献算法中所写的MATLAB代码，实现肤色检测与轮廓提取。-According to foreign literature written in MATLAB code algorithm to achieve skin color detection and contour extraction.
Face-Detection
- 完整的包括皮肤及动作识别的C++人脸检测源代码，涉及的技术有：小波分析，尺度缩减模型（PCA,LDA,ICA），人工神经网络（ANN），支持向量机（SVM），SSE编程，图像处理，直方图均衡，图像滤波，C++编程等。-Complete, including skin and actions identified C++ face detection source code, the technology involved are: wavelet analysis, scaling down m
skindetector
- This Matlab code was developed for skin pixel detection in general imagery. Non-parametric histogram-based models were trained using manually annotated skin and non-skin pixels. A total of 14,985,845 skin pixels and 304,844,751 non-skin pixels
edge_detect
- This Matlab code was developed for skin pixel detection in general imagery. Non-parametric histogram-based models were trained using manually annotated skin and non-skin pixels. A total of 14,985,845 skin pixels and 304,844,751 non-skin pixe
color_track_othr
- This Matlab code was developed for skin pixel detection in general imagery. Non-parametric histogram-based models were trained using manually annotated skin and non-skin pixels. A total of 14,985,845 skin pixels and 304,844,751 non-skin pixe
Cscore
- skin lesion color histogram