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skin color model
相关语句
  肤色模型
    A kind algorithms of human face detection based on Neural Network and Skin color model
    基于肤色模型和神经网络的人脸检测算法
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  skin color model
We build a skin color model with Gaussian distribution and segment face region for each frame of incoming image stream.
      
With this Gaussian skin color model, we segment face region for each frame of the video, so we can obtain face image stream.
      
We use the images from internet to learn the skin-color model.
      
We also reported a comprehensive analysis of the Bayesian skin color model together with several interesting results.
      
The skin color region is extracted based on the skin color model.
      
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In this paper,a kind human face detection algorithm based on Neural Network and Skin Color model is presented. The neural network has the characters of self-study,anamnesis,calculation and seeing to something with intelligence.This article introduces the neural network that is used to build a classier and illuminates the way to classify the neural network and the procedure of the face detection.Combined with skin color model,the face detection can be realized in the complex situation at different environments,different...

In this paper,a kind human face detection algorithm based on Neural Network and Skin Color model is presented. The neural network has the characters of self-study,anamnesis,calculation and seeing to something with intelligence.This article introduces the neural network that is used to build a classier and illuminates the way to classify the neural network and the procedure of the face detection.Combined with skin color model,the face detection can be realized in the complex situation at different environments,different gesture,different skin and different expression.Meanwhile,with the expansion of the static detection,we achieve the real-time face detection.The experiment shows,such characteristics as this method is fast,reliable.

神经网络具有自学习、记忆、计算以及智能处理等能力,本文应用前向型神经网络做分类器,并阐明了神经网络的分类方法和人脸检测过程,以及结合人体肤色模型实现了在不同环境、不同姿态、不同肤色、不同表情等复杂环境下的人脸检测,同时通过对静态检测的扩展实现了实时的人脸检测.实验表明,该方法具有快速,有效等特点.

 
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