人脸识别系统

人脸识别系统中关键问题研究

Research on the Key Issues of Facial Recognition System

这种书皮通过内置摄像头和人脸识别系统对读者面部进行扫描，只有扫描到的表情不带任何感情时，才会解锁打开书本。

The cover uses an integrated camera and facial recognition system to scan the reader 's face , and only unlock the book if the expression is neutral .

基于ASR智能机器人的人脸识别系统研究与开发

The Research and Development of Face Recognition System Based on AS_R Intelligent Robot

基于ARM的人脸识别系统设计与实现

The Design and Realize of Face Recognition Base on ARM Embedded System

人脸识别系统中的BP网分类方法

BP neural network for classification of face recognition system

基于DSP的嵌入式人脸识别系统的设计

Design of Face Recognition Embedded System Based on DSP

基于嵌入式Linux的人脸识别系统的研究

Research of Face Recognition System Based on Embedded Linux

给出了基于DSP的三维人脸识别系统设计思想。

A briefly chart of 3D face recognition system based on DSP is drawn lastly .

用于人脸识别系统的一种新PCA算法

A New System of Face Recognition Based on PCA

基于Gabor小波和非线性算法的人脸识别系统

Face Recognition System Based on Gabor Wavelet and Non-linear Algorithm

基于FPGA的自动人脸识别系统在速度、功耗、扩展性等方面具有独特的优势，拥有广阔的发展前景。

FPGA-based face identification system has unique advantages in terms of speed , power consumption and scalability . This method has broad prospects for development .

而传统的人脸识别系统都是在以PC为基础的平台上进行开发的，这样的系统在使用的场合和成本上都有很大的缺陷。

But the traditional face recognition systems are based on PC , this system has a lot of defects in the use of the occasion and cost .

基于CBIR技术的手机人脸识别系统设计

Design of Portable Face Recognition System Based on CBIR

基于OpenCV开源库构造了一个基于视频的人脸识别系统原型。

Open source library based on OpenCV Constructed a prototype of a video-based face recognition system .

在本文的人脸识别系统中，人脸被表示成一系列的特征点，每个特征点都被描述为一个由40个复Gabor滤波器组与该点响应的结果，称为Jet。

Each of these feature points is described by a Jet , which is a set of filter responses of 40 complex Gabor filters that are applied at that point .

取而代之的，是一些专门陈列数据监视和人脸识别系统的展台。NEC的营销口号声称，这些都是用来保障生命和财产安全的技术。

In their place were booths dedicated to data surveillance and face recognition systems marketed as technologies to safeguard lives and property .

本文设计一个基于MLP神经网络模型的分类器，该分类器使用的BP学习算法，并应用在复杂光照条件下的人脸识别系统中。

This paper designs a classifier based on MLP neural network model which used BP learning algorithm , and use in the face recognition systems under complex lighting conditions .

取而代之的，是一些专门陈列数据监视和人脸识别系统的展台。NEC的营销口号声称，这些都是用来“保障生命和财产安全的技术。”

In their place were booths dedicated to data surveillance and face recognition systems marketed as " technologies to safeguard lives and property . "

最后，对文中讨论的上述算法的有效性，设计了一个简单的人脸识别系统，用ORL人脸像数据库进行了实验验证。

Finally , it designs a simple face recognition system to prove the validity , and experiments on the ORL face database .

理论分析和实验结果均证实，在这两种情况下，基于独立分量分析的普适人脸识别系统的性能优于传统的基于Fisher线性判别规则的人脸识别系统的性能。

Theoretical analysis and experimental results show that the new generalized face recognition system could outperform traditional system basied on fisher 's linear discriminant under large variation of lighting direction and with incomplete face images .

描述了OpenCV的基本构成及用OpenCV开发人脸识别系统的优越性，并详述了OpenCV在HMM和人脸识别中的应用。

The basic architecture of OpenCV and its advantage to develop face recognition systems is explained , and its application in the face recognition is detailed . 4 .

由于既加入了线性特征又加入了非线性特征，因此，研究发现融合LLE与LDA的人脸识别系统的识别率比单独使用LLE，LDA或将两种方法进行简单组合的方法有显著提高。

For adding the linear and nonlinear features , the research has found that this method can achieve better recognition rate compare to using LLE , LDA individually or combine them simply .

本文研究如何利用多光谱图像融合技术来提高人脸识别系统的整体识别性能。首先，本文将基于奇异值分解（SVD）图像分层应用于多模式图像融合。

This thesis focuses on the methodology of multi-spectral image fusion for improving the performance of face recognition system . Firstly , a new multi-modal image fusion algorithm based on singular value decomposition ( SVD ) image slicing is proposed .

2006年FRVT测试结果表明光照变化会严重影响自动人脸识别系统的识别性能。

The report of FRVT 2006 shows that varying illumination will seriously affect the performance of face recognition .

人脸识别系统及其在现实生活中的应用

The Computer Face Recognition System and Its Application in Realistic Life

在攻读博士期间还初步实现了一个实时人脸识别系统。该系统能够自动完成

Developed a real time face recognition system , which can automatically perform

本文研究的主要内容是人脸识别系统中人脸检测及定位算法，是人脸识别系统的前期性工作。

It is the early stage of face recognition systems .

基于神经网络的不变性模式识别的人脸识别系统

Face Recognition System Based on Multilayer Neural Networks for Motion Invariant Pattern Recognition

人脸识别系统中图像噪声去除方法研究

A Study of De-noising Methods in Face Recognition System

现有的人脸识别系统在较好的采样条件下能够取得较好的识别精度。

Existing face recognition systems can achieve high recognition accuracy under favorable conditions .