Description: 支持向量机方法，用matlab实现，用于分类检测、模式识别，人脸检测等-Support Vector Machine method, the realization of Matlab for the detection and classification, pattern recognition, face detection Platform: |
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Author:韩乐 |
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Description: 一偏好文章，学习人脸检测与人脸识别的可以参考一下-One preferred article, learning Face Detection and Face Recognition for reference Platform: |
Size: 609280 |
Author:李云 |
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Description: 基于模板匹配与支持矢量机的人脸检测
梁路宏 艾海舟 肖习攀 叶航军 徐光佑 张钹
。本文提出了一种将模板匹配与支持矢量机（SVM）相结合的人脸检测算法。算法首先使用双眼—人脸模板对进行粗筛选，然后使用SVM分类器进行分类。在模板匹配限定的子空间内采用“自举”方法收集“非人脸”样本训练SVM，有效地降低了训练的难度。实验结果的对比数据表明，该算法是十分有效的。-Based on template matching and support vector machine Face Detection Liang Wang Ai Haizhou Road, Xi Pan Xiao Ye Zhang Bo Xu Guangyou military aircraft. This paper proposes a template matching and support vector machine (SVM) a combination of face detection algorithm. Algorithm the first to use both eyes- face template to carry out coarse filter, and then use the SVM classifier to classify. Template matching in the sub-space limit the use of Platform: |
Size: 1135616 |
Author:cy |
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Description: 在Yale 人脸库上运用PCA＋SVM的方法实现了人脸检测，并统计识别率-In the Yale face database using PCA SVM method achieved a face detection and recognition rate statistics Platform: |
Size: 5402624 |
Author:舟子还 |
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Description: 一个外国人写的人脸检测程序，用到svm,pca,神经网络,还不错-Written by a foreigner face detection procedure, used svm, pca, neural network, but also good Platform: |
Size: 194560 |
Author:谢朝 |
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Description: 人脸检测源代码. The souce demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification -Face detection source code. The souce demonstrates face detection SSE optimized C++ Library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification Platform: |
Size: 366592 |
Author:huangtyu |
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Description: 人脸检测。用c++编写。人脸检测是人脸分析的首要环节，其处理的问题是确认图像（或影像）中是
否存在人脸，如果存在则对人脸进行定位。人脸检测的应用领域相当广泛，是实
现机器智能化的重要步骤之一。
AdaBoost 算法是1995 年提出的一种快速人脸检测算法，是人脸检测领域里
程碑式的进步，这种算法根据弱学习的反馈，适应性地调整假设的错误率，使在
效率不降低的情况下，检测正确率得到了很大的提高。-Face Detection. Using c++ to prepare. Face detection is the most important aspect of facial analysis, which dealt with the problem is to identify the image (or images) in the presence of human faces, if there is to locate human faces. Face detection applications of a wide range of intelligent machines to achieve one of the important steps. AdaBoost algorithm is proposed in 1995 a fast face detection algorithms, Face Detection is a landmark of progress in the field, the weak learning algorithm based on feedback, adaptive adjustment of the error rate assumptions, so that efficiency is not reduced in the case of , the detection accuracy has been greatly improved. Platform: |
Size: 897024 |
Author:ashura |
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Description: Chesnokov Yuriy写的人脸检测库，内容涵盖肤色检测、运动估计、SVM分类、PCA/LDA/ICA特征提取以及神经网络分类器等。-The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification Platform: |
Size: 463872 |
Author:刘子木 |
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Description: 基于肤色分割和SVM的人脸检测的MATLAB 代码，主要是利用YCgCr来来进行肤色建模，然后结合SVM进行检测。 希望对您有所帮助！-Based on skin color segmentation and SVM Face Detection MATLAB code, mainly used to carry out color YCgCr to model, and then tested with SVM. Want to help you! Platform: |
Size: 5120 |
Author:shen |
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Description: 基于支持向量机的人脸检测训练集增强算法实现。根据支持向量机(support vector machine，简称SVM)~ ，对基于边界的分类算"~(geometric approach)~
言，类别边界附近的样本通常比其他样本包含有更多的分类信息．基于这一基本思路，以人脸检测问题为例．探讨了
对给定训练样本集进行边界增强的问题，并为此而提出了一种基于支持向量机和改进的非线性精简集算法
IRS(improved reduced set)的训练集边界样本增强算法，用以扩大-91l练集并改善其样本分布．其中，所谓IRS算法是指
在精简集(reduced se0算法的核函数中嵌入一种新的距离度量一一图像欧式距离一一来改善其迭代近似性能，IRS
可以有效地生成新的、位于类别边界附近的虚拟样本以增强给定训练集．为了验证算法的有效性，采用增强的样本
集训练基于AdaBoost的人脸检测器，并在MIT+CMU正面人脸测试库上进行了测试．实验结果表明通过这种方法
能够有效地提高最终分类器的人脸检测性能．-According to support vector machines(SVMs)，for those geometric approach based classification
methods，examples close to the class boundary usually are more informative than others．Taking face detection as an
example，this paper addresses the problem of enhancing given training set and presents a nonlinear method to tackle
the problem effectively．Based on SVM and improved reduced set algorithm (IRS)，the method generates new
examples lying close to the face／non—face class boundary to enlarge the original dataset and hence improve its
sample distribution．The new IRS algorithm has greatly improved the approximation performance of the original
reduced set(RS)method by embedding a new distance metric called image Euclidean distance(IMED)into the
keme1 function．To verify the generalization capability of the proposed method，the enhanced dataset is used to train
an AdaBoost．based face detector and test it on the MIT+CMU frontal face test set．The experimental results show
that the origina Platform: |
Size: 649216 |
Author:郭事业 |
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Description: 使用SVM实现人脸检测,能够帮助初学者了解SVM的原理-face detection by using svm，which can help seniors to learn SVM Platform: |
Size: 270336 |
Author:forrest |
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Description: pca+svm 与pca +adaboost 人脸检测，里面包含有程序的详细说明-pca+svm, pca+adaboost people face detection, which contains a detailed description of the program Platform: |
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Author:yuzan |
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Description: The goal of this session is to get basic practical experience with SVM classification as well as with the visual object category detection in still images. We will consider a simple face detector based on the common “scanning-window” technique. Platform: |
Size: 10115072 |
Author:vasanth |
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Search - svm face detection