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人脸识别     
相关语句
  face recognition
    Research on Face Recognition Technology
    人脸识别技术研究
短句来源
    Research on the Neural Network with Sparse RAM and Its Application to Face Recognition
    基于稀疏RAM的神经网络及其人脸识别应用研究
短句来源
    Embedded Hidden Markov Model and Neural Network for Face Recognition
    嵌入式隐Markov模型和神经网络人脸识别
短句来源
    Theory of Feature Extraction and Recognition of Images and Its Application in Face Recognition
    图象特征抽取与识别理论及其在人脸识别中的应用
短句来源
    A Study on Robust Face Recognition
    鲁棒的人脸识别方法研究
短句来源
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  human face recognition
    A Study of Human Face Recognition
    人脸识别技术研究
短句来源
    Modular PCA,a human face recognition technique based on PCA,is presented in this paper.
    基于PCA,提出了分块PCA的人脸识别方法。
短句来源
    Location of the reference points and the feature points for human face recognition
    人脸识别中基准点的选取与特征点定位
短句来源
    Improvement of the edge detector for human face recognition
    人脸识别中边缘检测器的改进
短句来源
    Human Face Recognition:A Survey
    人脸识别技术综述
短句来源
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  facial recognition
    A Novel Algebraic Feature Extraction Method and Facial Recognition
    一种新的代数特征抽取方法及人脸识别
短句来源
    A Research on the SVM Method for Facial Recognition
    基于SVM的人脸识别方法研究
短句来源
    Research on the Key Issues of Facial Recognition System
    人脸识别系统中关键问题研究
短句来源
    Thus, facial recognition is a wildly researched task of biometric recognition.
    人脸识别是目前生物特征识别领域热门的研究问题。
短句来源
    This paper begins at intellective facial recognition system and studies on the problems: facial detection, facial expression recognition, pose-emendation, illumination’s affection what facial recognition system has counted with.
    目前的人脸识别算法往往是基于标准人脸图像库的,本文从智能人脸识别系统出发,对智能人脸识别系统所要解决的关键问题:人脸的定位、表情的识别、姿态的校正、光照的影响进行了研究。
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  human-face recognition
    The application of 2-dimensional Walsh transform with two kinds of orderings to human-face recognition and their contrast
    两种序的二维Walsh变换在人脸识别中的应用
短句来源
    Two key techniques accounts the most for a human-face recognition system: one is face detection and orientation; the other is feature abstraction and recognition from unified human-face image.
    人脸识别系统主要包括两个技术环节:首先是人脸检测和定位,然后是对归一化的人脸图像进行特征提取与识别。
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  face recognition
Finally, the face recognition will be finished based on Principal Component Analysis (PCA).
      
Experiments show that better face recognition performance is achieved in this way.
      
A non-parameter bayesian classifier for face recognition
      
A non-parameter Bayesian classifier based on Kernel Density Estimation (KDE) is presented for face recognition, which can be regarded as a weighted Nearest Neighbor (NN) classifier in formation.
      
Subspace modeling plays an important role in face recognition.
      
更多          
  human face recognition
An RCE-based Associative Memory with Application to Human Face Recognition
      
For example, in human face recognition, we are given a database of face images and the identity of each image.
      
Human face recognition by adaptive processing of tree structures representation
      
Over the last twenty years, researchers in the field of human face recognition have tried to answer the question, how can a face be formally described? Each new face recognition system provides a different answer.
      
Automatic human face recognition is an emerging application in video surveillance and authentication systems.
      
更多          
  facial recognition
Under our proposed system, a compact optical correlator for facial recognition is employed.
      
Feature Extraction Method Based on the Generalised Fisher Discriminant Criterion and Facial Recognition
      
It is then applied to an experiment on human facial recognition, and the results show that the new algorithm is superior to existing methods in terms of correct classification rate.
      
Despite some successes, the process of Automatic Facial Recognition (AFR) remains a significant challenge when unconstrained imaging conditions are involved.
      
The Facial Recognition Technology (FERET) evaluation and the recent Face Verification Competition (FVC2004) have seen the top performance of Gabor feature based methods.
      
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