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Face Detection under Complex Background

机译:复杂背景下的人脸检测

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摘要

Face detection and feature extraction are widely used in face recognition, expression recognition, video-phone conference, human-computer interface, and intelligent monitoring system and so on. In order to solve the problem of low accuracy in the use of the traditional face detection technology in the detection of human face under complex background, in this paper, we propose a new view for face detection method, which is Snake model base on shape restricted. Consider character of the human facial shape is similar to an ellipse, the traditional Snake model is modified by adding the shape energy item in its energy function, which strong the relationship among the Snake points so as to improve the accuracy. Experiments show that it is an effective approach for extracting facial contour under complex background.
机译:人脸检测和特征提取广泛用于人脸识别,表情识别,电视电话会议,人机界面和智能监控系统等。为了解决复杂背景下人脸检测中传统人脸检测技术使用精度低的问题,本文提出了一种新的人脸检测方法的观点,即基于形状限制的Snake模型。 。考虑到人的面部形状类似于椭圆形,对传统的Snake模型进行了改进,在其能量函数中添加了形状能量项,从而加强了Snake点之间的关系,从而提高了准确性。实验表明,该方法是在复杂背景下提取人脸轮廓的有效方法。

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