Description: 贝叶斯分类器的C++源码，用IRIS作类例子，通俗易懂，适合作模式识别、图像处理研究开发用！-Bayesian classifier C source code, using IRIS category for example, easily understood and suitable for pattern recognition, Image processing research and development with! Platform: |
Size: 16084 |
Author:sjtu |
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Description: 国外的一个图像K均值聚类的C++源代码，非常容易集成和使用，适合模式识别、图像处理等方面的开发！-an image abroad of K-means clustering of C source code, and is easy to integrate and use, suitable for pattern recognition, Image processing, and other aspects of development. Platform: |
Size: 4644 |
Author:sjtu |
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Description: A set of matlab funcitons used in the field of digital image processing (pattern recognition). Platform: |
Size: 17408 |
Author:王军 |
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Description: 配准算法处理速度为小于20毫秒，可用于图像处理，模式识别-registration algorithm processing speed of less than 20 milliseconds, can be used for image processing, pattern recognition Platform: |
Size: 367616 |
Author:大海 |
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Description: 贝叶斯分类器的C++源码，用IRIS作类例子，通俗易懂，适合作模式识别、图像处理研究开发用！-Bayesian classifier C source code, using IRIS category for example, easily understood and suitable for pattern recognition, Image processing research and development with! Platform: |
Size: 15360 |
Author: |
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Description: 国外的一个图像K均值聚类的C++源代码，非常容易集成和使用，适合模式识别、图像处理等方面的开发！-an image abroad of K-means clustering of C source code, and is easy to integrate and use, suitable for pattern recognition, Image processing, and other aspects of development. Platform: |
Size: 4096 |
Author: |
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Description: 本程序中列举了数字图象模式识别领域中的常用程序,可以在其基础上进行图象处理.-the procedures outlined a digital image in the field of pattern recognition commonly used procedures, can be conducted on the basis of its image processing. Platform: |
Size: 14736384 |
Author: |
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Description: 图像处理与模式识别方面的书,其中有vc编写的一些详细的例子,很难得的-image processing and the pattern recognition, which is prepared by the vc some detailed examples, it is difficult to the Platform: |
Size: 10719232 |
Author:scs |
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Description: 基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由
于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份
验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征，
它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来
越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科
的研究热点。-Based on wavelet analysis and principal component analysis of the Face Recognition With the social development of all aspects of society in his capacity as quickly and efficiently verify the requirements of increasingly urgent. Biological characteristics as a result of the inherent human attribute, has a strong individual differences in their stability and, therefore, is an ideal basis for authentication. The use of facial features which is the most natural means of direct, compared with other biological characteristics, it has a direct, friendly, convenient and easy for users to accept. Thus, face recognition has attracted more and more from the computer vision and signal processing and other areas of concern, as a pattern recognition, image processing, such as the research subjects. Platform: |
Size: 37888 |
Author:付采 |
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Description: 主成分分析，人脸识别，模式识别，对图像处理有点帮助-Principal component analysis, face recognition, pattern recognition, image processing for a little help Platform: |
Size: 2048 |
Author:ydq |
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Description: 图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字，包括临时手写的数字，也包括图片中的数字
-Pattern recognition image processing a variety of classification (the most close to matching classifier, Bayes classifier, a linear function of classification, non-linear function of classification, neural network classification) to identify any number of handwritten digits 0-9 and digital images, including the design of training samples library, you can choose a variety of classifier to identify the 10 Arabic numerals identify the 0-9, including temporary handwritten figures also include the number of pictures Platform: |
Size: 541696 |
Author:yao |
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Description: 人脸识别是近年来模式识别、图像处理、机器视
觉、神经网络以及认知科学等领域研究的热点课题之
一。作为生物特征识别的一个重要方面, 人脸识别在
档案管理系统、安全验证系统、信用卡验证、公安系统
的罪犯身份识别、银行和海关的监控、人机交互等领域
具有广阔的应用前景。与指纹识别、视网膜识别、虹膜
识别等技术相比, 人脸识别技术在数据采集方面手续
比较简单, 使用者更容易接受。-Face recognition in recent years, pattern recognition, image processing, machine vision, neural networks, and research in the field of cognitive science, one of the hot topics. As a biological feature recognition is an important aspect, face recognition in the file management systems, security verification systems, credit card verification, security system, criminal identification, banking and customs controls, the areas of human-computer interaction has broad application prospects. And fingerprint recognition, retina identification, iris recognition technology, compared with face recognition technology in the data collection procedure is relatively simple, the user is more receptive. Platform: |
Size: 533504 |
Author:天使 |
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Description: 小波分析诞生于20世纪80年代, 被认为是调和分析即现代Fourier分析发展的一个崭新阶段。众多高新技术以数学为基础,而小波分析被誉为“数学显微镜”,这就决定了它在高科技研究领域重要的地位。目前, 它在模式识别、图像处理、语音处理、故障诊断、地球物理勘探、分形理论、空气动力学与流体力学上的应用都得到了广泛深入的研究,甚至在金融、证券、股票等社会科学方面都有小波分析的应用研究-Wavelet analysis was born in the 1980s, is considered the modern harmonic analysis and Fourier analysis is the development of a new phase. Mathematical basis of many high-tech, and wavelet analysis as the " mathematical microscope" , which determines its high-tech research in an important position. Currently, it is pattern recognition, image processing, speech processing, fault diagnosis, geophysical exploration, fractal theory, aerodynamics and fluid mechanics have been applied on extensive research, even in the financial, securities, stocks and other social sciences aspects of the application of wavelet analysis Platform: |
Size: 51506176 |
Author:zhouxiaolin |
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Description: Face recognition has been one of the most interesting and important research fields in the past two decades. The reasons come the need of automatic recognitions and surveillance systems, the interest in human visual system on face recognition, and the design of human-computer interface, etc. These researches involve know-ledge and researchers disciplines such as neuroscience, psychology, computer vision, pattern recognition, image processing, and machine learning, etc. A bunch of papers have been published to overcome difference factors (such as illumination, ex-pression, scale, pose, ……) and achieve better recognition rate, while there is still no robust technique against uncontrolled practical cases which may involve kinds of factors simultaneously-Face recognition has been one of the most interesting and important research fields in the past two decades. The reasons come the need of automatic recognitions and surveillance systems, the interest in human visual system on face recognition, and the design of human-computer interface, etc. These researches involve know-ledge and researchers disciplines such as neuroscience, psychology, computer vision, pattern recognition, image processing, and machine learning, etc. A bunch of papers have been published to overcome difference factors (such as illumination, ex-pression, scale, pose, ……) and achieve better recognition rate, while there is still no robust technique against uncontrolled practical cases which may involve kinds of factors simultaneously Platform: |
Size: 4878336 |
Author:Jashpreet |
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Search - pattern recognition image processing