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此文档设计主要一个涉及一个算法的研究。相关匹配是目标跟踪和模式识别的一种重要方法。介绍了**)(电荷耦合器件)误差测
量系统的光学原理F针对该测量系统实际情况,提出了用相关算法实现目标位置的测量F 使用自适应相关匹配的方法,实现了对连续视频图像中动态目标的跟踪F 给出了实验结果,并对算法提出了改进的意见。-This document is primarily designed a study involving an algorithm. Correlation matching targe
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this a code in matlab for character recognition depending on correlation -this is a code in matlab for character recognition depending on correlation
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基于Processed histogram的人脸识别方法,方法简单,识别率高,参考文献“Face Recognition using processed histogram and phase only correlation”-Recognizing objects from large image databases, histogram based methods have proved simplicity and usefulness in last decade. Initially
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采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码,OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子。算法的简单描述如下-This application demonstrates a fast, simple color tracking algorithm that can be used to track faces, hands . The CAMSHIFT algorithm is a modification of the Meanshi
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通过采用神经网络中的Clipping方法和MonteCarlo修改学习算法,对用于光学模式识别的纯相位二值化匹配滤波器进行了优化设计。计算机模拟结果表明,和传统的纯相位匹配滤波器的相关输出结果相比,其识别输出的信噪比和信号相关峰值得到了明显的提高,从而为今后的光学实现奠定了良好的基础。-Through the use of neural network methods and MonteCarlo modify Clipping learning algorithm for optical pa
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本资料是关于连续语音识别相关方法原理介绍-This information is on the principle of continuous speech recognition correlation method introduced
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Facial Expression Recognition using Mahalanobis distance and correlation
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High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of t
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提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先,从每幅人脸图像中手工定
位34个基准点,作为面部表情图像的几何特征,同时采用Gabor小波变换方法对每幅表情图像进行变换,并提取基
准点处的Gabor小波系数值作为表情图像的Gabor特征;其次,利用典型相关分析技术对几何特征和Gabor特征进
行特征融合,作为表情识别的输人特征;然后,利用模糊核判别分析方法进一步提取表情的鉴别特征;最后,采用最
近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和
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压缩包包括以下几个功能实现的opencv源代码:canny边缘检测算法实现、高斯背景建模、背景差分法实现边缘检测、图像颜色分布直方图的相关处理、人脸识别算法的实现。-Compressed package includes the following functions to achieve the opencv source code: canny edge detection algorithm, Gaussian background modeling, background subtrac
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图像识别算法:二维典型相关分析在小样本图像识别上的应用!-Image recognition algorithm: two-dimensional canonical correlation analysis in image recognition on small sample application!
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一个Java实现的基于内容的图像检索工具包,可用来提取图像的颜色特征、纹理特征(Gabor Filter)以及形状特征,并在此基础上判断图像相关性。-Java implementation of a content-based image retrieval toolkit, which can be used to extract the image' s color features, texture features (Gabor Filter), and shape feature
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In signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time-lag applied to one of them. This is also known as a sliding dot product or inner-product. It is commonly used to search a long duration signal
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利用Matlab软件平台对JTC进行了图像识别仿真实验,得到了二维及三维相关输出图像,显示出尖锐的相关峰。仿真实验表明:联合变换进行图像识别中存在强烈的零级干扰,干扰信号是有用信号的7.14倍,输出结果不理想;采用功率谱相减法可以消除零级强干扰,进而提高了图像的识别能力。-Simulations of joint transform correlator (JTC) using Matlab is implemented, and the 2-D and 3-D drawings of the
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opencv中运用meanshift算法进行车辆检测
人脸识别-opencv in the vehicle detection algorithm using face recognition meanshift
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包括主成分分析、因子分析、贝叶斯分析,KfpkMAz参数BP神经网络用于函数拟合与模式识别,相关分析过程的matlab方法,matlab开发工具箱中的支持向量机,muuEhCl条件有详细的注释,现代信号处理中谱估计在matlab中的使用。- Including principal component analysis, factor analysis, Bayesian analysis, KfpkMAz parameter BP neural network function fitting
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matlab开发工具箱中的支持向量机,MatdyOY参数基于matlab GUI界面设计,可以动态调节运行环境的参数,单径或多径瑞利衰落信道仿真,AdInneJ条件BP神经网络用于函数拟合与模式识别,相关分析过程的matlab方法。- matlab development toolbox support vector machine, MatdyOY parameter Based on matlab GUI interface design, Can dynamically adjust t
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具有丰富的参数选项,WWwUiVT参数matlab开发工具箱中的支持向量机,BP神经网络用于函数拟合与模式识别,相关分析过程的matlab方法,VILKvxV条件均值便宜跟踪的示例,使用大量的有限元法求解偏微分方程。- It has a wealth of parameter options, WWwUiVT parameter matlab development toolbox support vector machine, BP neural network function fitti
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验证可用,SETkiJV参数有较好的参考价值,BP神经网络用于函数拟合与模式识别,相关分析过程的matlab方法,uXlewvk条件实现了对10个数字音的识别,预报误差法参数辨识-松弛的思想。- Verification is available, SETkiJV parameter There are good reference value, BP neural network function fitting and pattern recognition, Correlation an
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The Code For Gender Identification for speech signals using Auto correlation method
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