face recognition的例句大全

Face recognition based on Gabor features and kernel discriminant analysis method

基于Gabor特征量和核函数判决分析方法的人脸识别

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Images preprocessing is an essential foundation for the whole system. Face recognition would not go on wheels without a reliable preprocessing.

而图像的预处理是确保整个系统准确工作的基础，没有这个可靠的基石就无法顺利完成后面庞大的识别过程。

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Biometric systems, such as fingerprint, iris identification, face recognition and voice verification system have been wildly used in many areas as they can offer more reliable and efficient ways of individual identification than traditional methods like using PIN code.

生物特征识别系统，如指纹、虹膜、人脸、语音识别等，已经在很多领域投入应用。与设置密码等早期的方法比较，它能提供更为有效和可靠的身份认证。

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Human Face Recognition Using Information of Face Components to Improve Elastic Matching

使用部件信息改进弹性匹配人脸识别

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According to the algorithm mentioned above, we have finally realized the generation tool of test case. And we have generated the test cases for Face Recognition System based on ARM 2410, proved the feasibility and validity of this generation tool.

最终根据上述算法实现了测试用例生成工具，并结合基于ARM2410的嵌入式系统设备人脸识别门禁的例子给出了实验结果，证明该工具的可行性及有效性。

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face recognition is a cognitive processing for individual to encode, store and retrieve face.

面孔辨认过程是个体如何记录、储存进而提取面部信息的认知过程。

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In serial part, face recognition algorithm and gait recognition algorithm are used in turn to identify the unknown sample.

在串行部分，依次使用人脸识别算法和步态识别算法对待识别对象进行识别。

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In all kinds of methods, face recognition technique, one for personal identification, is accepted most easily.

在众多的身份认证方法中，人脸识别技术是一种最容易被接受的身份鉴定方法。

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An approach is proposed in this paper, face detection by complexional filter, and face recognition using pseudo 2D Hidden Markov Models based on the extraction of 2 D-DCT feature vectors.

本文介绍了利用肤色信息进行人脸检测后，采用基于二维DCT系数的伪二维隐马尔可夫模型（P2D-HMM）进行人脸识别的方法。

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Face Recognition Algorithm Integrating Bionic Algorithm with Principal Component Analysis

仿生算法与主成分分析相融合的人脸识别方法

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Skin-color detection is the key technique of face recognition and erotic image Filtering etc.

肤色检测是人脸识别和敏感图像过滤等领域中的关键技术。

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Face recognition is one of most active research subject in the area of pattern recognition and computer vision.

人脸识别一直是模式识别和计算机视觉领域研究的热点。

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Robust Face Recognition and Representation by Non-local Binary Pattern

非局部二值模式人脸表示与识别方法

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Face contour extraction is the base of face recognition and the foundation of 3D face model reconstruction.

人脸轮廓线提取是人脸特征识别和人头三维模型重建的基础。

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Face recognition combining the null space approach and the fractional LDA

结合零空间法和F-LDA的人脸识别算法

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At Chapter 2 to Chapter 4, three parts of this system are introduced, which are Essential methods of digital image processing, Face recognition and Old paper money recognition.

第二章至第四章则对系统中的三个模块数字图像处理的基本方法、人脸识别及残损纸币识别进行详细叙述。

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Then, itcom pares the characteristic matrix of the testing samples with that of the training samples in the image sets base, to find out the degree of their resemblance the similarity of image sets. In this way, the face recognition can be carried out.

然后，把测试样本的图象集特征矩阵与图象集库中的训练样本图象集的特征矩阵相比较找出它们的相似程度&图象集的似然度，从而进行人脸图象识别。

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Face recognition technology is developed as an active research in the field of applied mathematics and pattern recognition.

人脸识别问题是应用数学、模式识别领域的研究热点之一。

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A New Face Recognition Method Based on Kernel Fisher Discriminant Analysis

基于核Fisher判决分析的脸谱识别新方法

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Face recognition based on double characteristic space

基于双重特征空间的人脸识别

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