Description: 图像分类器，可实现贝叶斯滤波以及分类，应用与人脸识别，车牌识别等等。-Image classifier, Bayesian filtering can be achieved as well as the classification, application and face recognition, license plate recognition and so on. Platform: |
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Author: |
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Description: 机遇PCA的人脸识别，包括图像读取，PCA降维以及机遇简单贝叶斯分类-PCA Face Recognition opportunities, including the image read, PCA dimensionality reduction as well as the opportunity for easy Bayesian Classifier Platform: |
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Author:guodongyan |
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Description: 《精通VisualC++数字图像处理模式识别技术及工程实践》介绍了模式识别和人工智能中的一些基本理论，以及一些相关的模型，包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等，同时结合模式识别中的一些问题，比如字符识别、笔迹鉴定、人脸检测、车牌识别、印章识别以及遥感图片、医学图片处理等内容，从多种角度，介绍了解决这些问题的思路-" Proficient in VisualC++ digital image processing, pattern recognition technology and engineering practice," describes the pattern recognition and artificial intelligence in some of the basic theory, and a number of related models, including Bayesian decision-making, linear discriminant function, neural network theory, hidden Markov Cardiff model, clustering technologies, combined with pattern recognition in a number of issues, such as character recognition, handwriting identification, face detection, license plate recognition, seals, and remote-sensing image recognition, medical image processing and other content, from several angles, introduced ideas to solve these problems Platform: |
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Author:吴晶 |
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Description: 对人脸识别的贝叶斯方法ML中相似度计算公式进行了简化，对数据集的训练和人脸图像的预处理进
行了修改，提出了一种改进的贝叶斯人脸识另1】算法SML。在FERET人脸图像库的子集和南大人脸图像实验库上对
识别算法进行了测试和比较。实验表明，SML算法提高了ML算法的效率，克服了ML算法计算效率不高的缺陷，而
且SML的识别效率明显高于PCA方法。-Bayesian face recognition method on the ML in the similarity formula has been simplified, the data set of training and pre-processing face images were modified, an improved understanding of Bayesian Face Ling 1】 algorithm SML. In the FERET face image database a subset of the Southern adults face image recognition algorithm on the experimental database was tested and compared. Experiments show that, SML algorithm improves the efficiency of ML algorithm, ML algorithm overcomes the shortcomings of high efficiency, and the recognition rate significantly higher than SML PCA method. Platform: |
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Author:dmay |
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Description: 贝叶斯分类器的设计与实现，非常好的应用程序，能够在其上面实现人脸识别-Bayesian classifier design and implementation of a very good application, face recognition can be achieved in the above Platform: |
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Author:盛器才 |
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Description: 基于贝叶斯人脸识别技术的matlab人脸识别程序，在ORL库上实现，也可换用别的库进行运算，只需要更改样本数量-Bayesian face recognition technology based on face recognition matlab program, implemented on ORL database can also be used for other library operations, only need to change the number of samples Platform: |
Size: 1024 |
Author:王善民 |
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Description: Face Recognition System with four methods: PCA, Bayesian, EBGM etc-Colorado University Face Recognition Source Code Platform: |
Size: 5915648 |
Author:Dell |
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Description: The demand for robust face recognition in real-world
surveillance cameras i ncreasing due to the needs of practical applications
such as security and surveillance. Although face recognition
has been studied extensively in the literature, achieving good
performance in surveillance videos with unconstrained faces i nherently
difficult. During the image acquisition process, the noncooperative
subjects appear in arbitrary poses and resolutions in
different lighting conditions, together with noise and blurriness
of images. In addition, multiple cameras are usually distributed
in a camera network and different cameras often capture a subject
in different views. In this paper, we aim at tackling this unconstrained
face recognition problem and utilizing multiple cameras
to improve the recognition accuracy using a probabilistic approach.
We propose a dynamic Bayesian network to incorporate
the information different cameras as well as the temporal
clues frames in a video sequence-The demand for robust face recognition in real-world
surveillance cameras is increasing due to the needs of practical applications
such as security and surveillance. Although face recognition
has been studied extensively in the literature, achieving good
performance in surveillance videos with unconstrained faces is inherently
difficult. During the image acquisition process, the noncooperative
subjects appear in arbitrary poses and resolutions in
different lighting conditions, together with noise and blurriness
of images. In addition, multiple cameras are usually distributed
in a camera network and different cameras often capture a subject
in different views. In this paper, we aim at tackling this unconstrained
face recognition problem and utilizing multiple cameras
to improve the recognition accuracy using a probabilistic approach.
We propose a dynamic Bayesian network to incorporate
the information different cameras as well as the temporal
clues frames in a video sequence Platform: |
Size: 1774592 |
Author:manthiramm |
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Description: 包括主成分分析、因子分析、贝叶斯分析，Gabor小波变换与PCA的人脸识别代码，采用的是脉冲对消法。- Including principal component analysis, factor analysis, Bayesian analysis, Gabor wavelet transform and PCA face recognition code, It uses a pulse of consumer law. Platform: |
Size: 7168 |
Author:吴亮 |
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Description: 联合贝叶斯代码，主要用于做人脸识别的，使用python语言写的-Joint Bayesian code, mainly used to make face recognition using python language to write Platform: |
Size: 118784 |
Author:谭智峰 |
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Description: 人脸识别与检测程序，基于贝叶斯与最大期望，Python实现(Face recognition and detection program based on bayesian and maximum expectations) Platform: |
Size: 116736 |
Author:boZHUAN
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Search - Bayesian face recognition