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Face recognition is a popular industry video surveillance technology, the use of biometric identification information and thus achieve the purpose of identity,Face recognition is a popular industry video surveillance technology, the use of biometric
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人脸识别系统
人脸检测不仅是全自动人脸识别系统的基本步骤，而且本身也可以独立的应用于视频监控、图像检索等领域，因而具有重要的研究价值。尽管Viola等人于2001年提出的基于AdaBoost的人脸检测算法以其卓越的性能而得到了大家的青睐，并已基本解决了大多数情况下的人脸检测问题，但在实际应用中，尤其是智能监控应用中，仍然存在较多挑战性问题。-Automatic face detection face recognition system is not only the basic step
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采用SSE优化，基于C++写的人脸识别程序,可应用于视频监控系统中。-Using SSE optimization, based on the C++ Write the face recognition process can be applied to video surveillance systems.
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人脸识别具有广泛的应用前景，诸如公安系统的罪犯身份识别，驾驶执照及护照与实际持证人的核对、行及海关的监控系统及自动门卫系统等-Face recognition has wide application prospects, such as the Public Security system offender identification, driving license and passport and the actual holder of the check, the Customs a
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两篇人脸检测的英文论文，是花钱买的哦，英文描述中是一篇文章的英文摘要！-Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance,
face tracking, and face recognition. Efficient face and facial feature det
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人脸识别因其在安全验证系统、信用卡验证、医学、档案管理、视频会
议、人机交互、系统公安(罪犯识别等)等方面的巨大应用前景而越来越成为
当前模式识别和人工智能领域的一个研究热点。
本文提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确
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c#视频监控全部源代码，用到的数据库是access数据库。-c# video surveillance all the source code, used in the database is access the database.
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This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure
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采用MFC，运用于视频监控，人脸识别-Using MFC, used in video surveillance, face recognition, etc.
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模式识别各种算法及实例，包括人脸识别、视频监控等-Pattern recognition algorithms and examples, including face recognition, video surveillance. . . . . .
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Object detection and tracking are important in many computer vision applications including activity recognition, automotive saf ety,
and surveillance. In this example, you w ill develop a simple f ace tracking system by dividing the tracking probl
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Abstract—Numerous methods have been developed for holistic face recognition with impressive performance. However, few studies
have tackled how to recognize an arbitrary patch of a face image. Partial faces frequently appear in unconstrained scenari
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In recent years, face detection has been thoroughly studied
due to its wide potential applications, including face recognition,
human-computer interaction, video surveillance, etc.
Especially, in the context of face recognition, the detection o
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In recent years, face detection has been thoroughly studied
due to its wide potential applications, including face recognition,
human-computer interaction, video surveillance, etc.
Especially, in the context of face recognition, the detection o
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The demand for robust face recognition in real-world
surveillance cameras i ncreasing due to the needs of practical applications
such as security and surveillance. Although face recognition
has been studied extensively in the literature, achiev
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安卓软件APP工程源码，安全保密包含安全卫士源码，屏幕锁源码，人脸识别源码，手机防火墙源码，图案解锁之九宫解锁源码，图形解锁源码，网络监视器源码，远程视频监控程序源码等-Android APP software engineering source code, security code contains the security guards, screen lock code, source code for face recognition, mobile firewall source
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Face recognition has been one of the most interesting and important research fields in the past two decades. The reasons come the need of automatic recognitions and surveillance systems, the interest in human visual system on face recognition, and th
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Face recognition [1], the least intrusive biometric technique
in terms of acquisition, has been applied to a wide range
of commercial and law enforcement applications. State-ofthe-
art face recognition systems perform with high accuracy
under
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经典的灰度共生矩阵纹理计算方法，Gabor小波变换与PCA的人脸识别代码，实现了图像的灰度化并进一步用于视频监视控。- Classic GLCM texture calculation method, Gabor wavelet transform and PCA face recognition code, Achieve a grayscale image and further control for video surveillance.
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The final weight matrix is ??the filter coefficient, Achieve a grayscale image and further control for video surveillance, Face Recognition light treatment method.
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