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Description: eigenfaces,基于特征脸的人脸识别的一个例子.入门级别-eigenfaces, feature-based Face to Face Recognition is a case in point. Portal-level
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Size: 2048 |
Author: djfh hdh |
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Description: PCA主元分析法进行特征提取，再进行人脸识别-PCA principal component analysis method for feature extraction, and then carried out face recognition
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Size: 2048 |
Author: chenxi |
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Description: 这是基于智能视频中多人脸的跟踪，具有代表性！跟大家共同分享一下！-This is based on intelligent video in more than face tracking, a representative! Common to share with everyone!
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Size: 3648512 |
Author: 李振伟 |
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Description: 基于PSO与ICA的表情特征提取,pdf小论文.-Based on PSO and ICA face feature extraction, pdf small papers.
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Size: 1197056 |
Author: 王飞 |
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Description: Face Detection System
Face Detection using gabor feature extraction and neural networks
-Face Detection System Face Detection using gabor feature extraction and neural networks
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Size: 166912 |
Author: hujik |
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Description: 特征提取是人脸识别技术中一个基本而
又十分重要的环节，寻找有效的特征是解决识别问题的关键本文提出了一种新的人脸特征提取方法。该方法通过可调因子有效结合人脸局部流形结构信息和样本
的类别信息，充分提取样本的判别信息，将LPP 发展成为有监督方法。实验结果表明，该方法具有较好的
识别效果。-Feature Extraction in Face Recognition Technology is a fundamental and very important to find the characteristics of an effective solution to identify the crux of the problem is proposed in this paper a new facial feature extraction methods. This method is through the effective integration of tunable factor partial face manifold structure of information and samples of the types of information, the full extraction of the sample discriminant information, will be developed into a supervised LPP method. Experimental results show that the method has better recognition effect.
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Size: 173056 |
Author: 张波 |
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Description: 这是个人脸识别程序，是关于人脸特征提取的。-This is a face recognition program, on the facial feature extraction.
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Size: 9048064 |
Author: 户利利 |
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Description: 人脸特征定位、人脸跟踪、肤色模型、统计模型-Facial feature location, Face Tracking, color models, statistical models
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Size: 4631552 |
Author: 正反 |
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Description: 基于Gabor小波变换的特征提取和人工智能的人脸检测系统源代码.-Based on the Gabor wavelet feature extraction and artificial intelligence face detection system source code.
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Size: 190464 |
Author: 张晓 |
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Description: 一个典型的人脸识别系统主要包括训练过程和识别过程。训练过程主要完成将已知人脸进行定位、特征提取与选择、以及分类器的设计；识别过程则完成将未知图片进行处理，并最终识别出身份的分类和决策-A typical face recognition system mainly include the training process and the identification process. Completion of the training process will be the main face of known position, feature extraction and selection, and classifier design identification process will be completed to deal with the unknown image, and ultimately identify the identity of the classification and decision-making
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Size: 686080 |
Author: likunbao |
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Description: Face feature extraction for matching purposes
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Size: 769024 |
Author: Jason |
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Description: 实现人脸特征点的定位的论文，希望对大家有所帮助。-Facial feature points to achieve the positioning of the thesis, I hope all of you to help.
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Size: 665600 |
Author: lihongsheng |
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Description: 这是一个人脸识别的程序，先对图像预处理，然后用PCA进行特征提取。-This is a face recognition process, first on the image pre-processing, and then use PCA for feature extraction.
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Size: 2676736 |
Author: ll |
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Description: 这是一个用vc++实现的基于肤色的人脸识别系统，包括人脸的检测、定位，特征提取、识别。-This is a used vc++ Achieve color-based face recognition systems, including face detection, location, feature extraction, identification.
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Size: 3042304 |
Author: 谭少侠 |
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Description: Gabor变换的人脸特征提取算法的研究的的硕士论文，可以参考。- Gabor Transform Face Feature Extraction Algorithm DE master s thesis, you can reference.
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Size: 4596736 |
Author: wuli |
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Description: Face Detection using Gabor feature extraction and neural network by matlab
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Size: 208896 |
Author: tony |
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Description: 人脸检测和特征点定位，包括眼睛，鼻子，嘴-Face detection and eyes,noses,mouth detection.
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Size: 552960 |
Author: UU |
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Description: 人脸特征提取算法程序源代码，基于Gabor滤波幅值特性的人脸特征提取算法的程序- Extraction Algorithm of Face Feature
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Size: 4096 |
Author: 周炳朋 |
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Description: 基于Gabor滤波相位特性的人脸特征提取算法程序清单-Extraction Algorithm of Face Feature
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Size: 6144 |
Author: 周炳朋 |
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Description: 提出一种人脸特征点跟踪方法。首先, 运用ASM 获取人脸的特征点, 然后在选用Lucas Kanade光流算法的基础
上, 将初始帧和当前帧的前一帧有机结合起来, 共同作为当前帧的参考来进行特征点跟踪。实验结果表明该方法对特征
点的跟踪有很好的效果。-Proposed a facial feature point tracking method. First, the use of the ASM obtaining human face feature point, and then in the selection of the the Lucas Kanade optical flow algorithm, based on, the initial frame and the current frame before a combine, as the current frame of reference common feature point tracking . Experimental results show that the method has a good effect on the tracking of the feature point.
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Size: 231424 |
Author: yaomeng |
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