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首页> 外文期刊>Sensor Letters: A Journal Dedicated to all Aspects of Sensors in Science, Engineering, and Medicine >Real-Time Face Detection Method Using Discrete Wavelet Transform for a Vision Care System
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Real-Time Face Detection Method Using Discrete Wavelet Transform for a Vision Care System

机译：视觉护理系统中基于离散小波变换的实时人脸检测方法

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摘要

Computers have become popular appliances in our life, and people spend more and more time using computers. How to use computers healthily become important issues. In this paper, a hybrid face detector with the Symmetric Mask-based Discrete Wavelet Transform (SMDWT) and the Face Geometrical Features (FGF) is proposed. Moreover, in many real-world video analytic systems, the characteristic of low computation complexity and fast response for low resolution images still causes attraction on computer vision applications. In order to monitor the user who uses the computer with inappropriate distance and this system will remind the user to keep a good distance from the computer for good eyesight. It uses a low complex wavelet transform to improve the vision care system to achieve real-time processing, and it adopts the face feature detection method to increase the accuracy ratio. The proposed method was verified on the captured images under several real indoor environments.
机译：计算机已经成为我们生活中的流行设备，人们花费越来越多的时间使用计算机。如何健康地使用计算机成为重要的问题。本文提出了一种基于对称掩模的离散小波变换（SMDWT）和人脸几何特征（FGF）的混合人脸检测器。此外，在许多现实世界的视频分析系统中，低计算复杂度和对低分辨率图像的快速响应的特征仍然引起计算机视觉应用的吸引。为了监视使用距离不合适的计算机的用户，该系统将提醒用户与计算机保持良好的距离，以保持良好的视力。它使用低复杂度小波变换来改善视力保健系统以实现实时处理，并采用人脸特征检测方法来提高准确率。在几种实际室内环境下对所捕获的图像进行了验证。

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