Description: 该程序用java结合神经网络训练的方法实现了人脸识别的功能。-The program combines neural networks with java training methods realize the face recognition function. Platform: |
Size: 20480 |
Author:孙继开 |
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Description: dct二维离散余弦变换 里面采用了经典的美人人脸识别图片，为自动加载
，用DCT法后能统计使用时间，也用了FDCT法，明显速度优于DCT.-two-dimensional discrete cosine transform DCT inside a classic beauty face recognition picture, in order to automatically load, using DCT method to use after the statistical time spent FDCT law, obviously the speed is better than DCT. Platform: |
Size: 128000 |
Author:沧海客 |
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Description: 这是用PCA方法进行人脸识别的程序，test.m为测试程序-This is the method of face recognition using PCA procedures, test.m for the test procedure Platform: |
Size: 2048 |
Author:邱雪娜 |
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Description: 用ＨＭＭ算法实现人脸识别，对学习HMM初学者可以提供参考-Face Recognition Using HMM algorithm for learning HMM can provide a reference for beginners Platform: |
Size: 15360 |
Author:哥琴 |
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Description: Learning Multi-scale Block Local Binary Patterns for Face Recognition”-Learning Multi-scale Block Local Binary Patterns for Face Recognition Platform: |
Size: 4284416 |
Author:shj |
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Description: libsvm工具箱，用于人脸识别等模式识别，非常好用，效率较高-libsvm toolbox for pattern recognition such as face recognition, very easy to use, more efficient Platform: |
Size: 414720 |
Author:laosee |
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Description: The first step to intelligent image/video processing for face recognition in uncontrolled scenery with complex backgrounds (outdoor environments, airports, train/bus stations) is face detection. The precision of the latter heavily depends your face recognition results. Typically scientists investigating in that field do not have the time or the ability to develop optimized C++ code ready for commercial use and confine themselves with the Matlab development process only. -The first step to intelligent image/video processing for face recognition in uncontrolled scenery with complex backgrounds (outdoor environments, airports, train/bus stations) is face detection. The precision of the latter heavily depends your face recognition results. Typically scientists investigating in that field do not have the time or the ability to develop optimized C++ code ready for commercial use and confine themselves with the Matlab development process only. Platform: |
Size: 194560 |
Author:曲亚武 |
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Description: 本文的题目是基于分形和遗传算法的人脸识别方法，对有限人群提出一种采用分形特征和遗传聚类的识别方法: 将图像分成很多小区域, 分别计算各个区域的分形特征, 以充分利用图像二维信息 同一个模式有多个样本, 通过遗传算法进行聚类以得到最优解实现不变性识别. 最后采用ORL 人脸图像库的一组图像对比了新方法、本征脸法和自联想神经网络方法, 结果表明该方法的识别率, 与本征脸法相似, 比自联想神经网络高.-The title of this article is based on fractal and genetic algorithms for face recognition method, a crowd of limited use of fractal characteristics and the identification of genetic clustering methods: the image is divided into many small regions, each region were calculated fractal characteristics, to take full advantage of two-dimensional image information with a model for a number of samples, through the genetic clustering algorithm in order to obtain the optimal solution to achieve invariant recognition. Finally, using ORL face image database of a group of image contrast of the new methods, eigenface law and auto-associative neural network methods, results show that the method of recognition rate, with the eigenface method is similar to auto-associative neural network than high. Platform: |
Size: 380928 |
Author:阳关 |
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Description: 这是我自己做的关于人脸识别的小系统`做毕业设计的用的话，可一-This is my own on a small face recognition system designed `to do with graduation, it may in a Platform: |
Size: 2048 |
Author:杨肃 |
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Description: 笔者自行编写的Matlab环境下的人脸识别算法小实验，
采用的是经典的PCA算法，主要内容是采用SVD方法提取出象素空间上的
PCA主分量特征，分类算法上仅是基于最小距离分类
-The author of the Matlab environment to prepare the face recognition algorithm under small experiment using classical PCA algorithm, the main contents of SVD method is used to extract pixel space on the PCA principal component features, the only classification algorithm is based on the minimum distance classifier Platform: |
Size: 27648 |
Author:杨愚根 |
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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. Platform: |
Size: 173056 |
Author:张波 |
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Description: lle和svm 的人脸识别算法代码，识别率可以打到80以上。-lle and SVM for face recognition algorithm code, the recognition rate can reach 80 or more. Platform: |
Size: 1024 |
Author:郭锋 |
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Description: 这是一个用matlab做的人脸识别系统，里面包含了几十张人脸数据图像，值得一荐-This is a matlab to do with Face Recognition System, which contains dozens of Zhang Face image data, it is worth sacral Platform: |
Size: 304128 |
Author:赵军军 |
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