Description: 本文是06SIGGRAPH上的一篇论文\"实时视频抽象\"的原始算法.其中包括双面过滤\\颜色转换\\高斯差分边缘等.-This is the thesis of a "real-time video abstraction" of the original algorithm. Which packets including double filtration \\ color conversion \\ Difference of Gaussian and edge. Platform: |
Size: 64389 |
Author:阎晓敏 |
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Description: 中心/ 环绕Retinex 算法。自从Retinex 理论提出以来, Land 本人和其他
人先后提出了Retinex 不同的变种, 最新的一个版
本是中心/ 环绕Retinex 7 。该方法比较以前的版
本, 运算速度显著提高, 而且物理意义更加清楚。
这种运算与人类视网膜和大脑皮层神经元的神经生
理学函数相关, 其形式类似于自然视觉科学中常用
来模拟单个神经元感受野的高斯差分函数-center / around Retinex algorithm. Since Retinex theory, Land I and others have raised Retinex different varieties, The latest version is a center / around Retinex 7. The method compared with the old version, computational speed significantly improved, but more clear physical meaning. Such operations and human retinal neurons in the brain and nerve function related physiology, form similar to the natural visual science used to simulate the feeling of individual neurons in the wild Difference of Gaussian function Platform: |
Size: 4349 |
Author:红宁 |
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Description: 本文是06SIGGRAPH上的一篇论文"实时视频抽象"的原始算法.其中包括双面过滤\颜色转换\高斯差分边缘等.-This is the thesis of a "real-time video abstraction" of the original algorithm. Which packets including double filtration \ color conversion \ Difference of Gaussian and edge. Platform: |
Size: 64512 |
Author:阎晓敏 |
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Description: 中心/ 环绕Retinex 算法。自从Retinex 理论提出以来, Land 本人和其他
人先后提出了Retinex 不同的变种, 最新的一个版
本是中心/ 环绕Retinex 7 。该方法比较以前的版
本, 运算速度显著提高, 而且物理意义更加清楚。
这种运算与人类视网膜和大脑皮层神经元的神经生
理学函数相关, 其形式类似于自然视觉科学中常用
来模拟单个神经元感受野的高斯差分函数-center/around Retinex algorithm. Since Retinex theory, Land I and others have raised Retinex different varieties, The latest version is a center/around Retinex 7. The method compared with the old version, computational speed significantly improved, but more clear physical meaning. Such operations and human retinal neurons in the brain and nerve function related physiology, form similar to the natural visual science used to simulate the feeling of individual neurons in the wild Difference of Gaussian function Platform: |
Size: 4096 |
Author: |
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Description: DoG(Difference of Gaussian)滤波算子，主要用于边缘特征提取，用于模式识别中的分割预处理。其主要参数为两个高斯函数的方差，针对方差设计可以对不同的图像特征情况下有不同的表现。-DoG (Difference of Gaussian) filtering operator, the edge feature extraction is mainly used for pattern recognition of the partition pretreatment. The main parameters for the two Gaussian function of variance, the variance for design characteristics of the different images have different circumstances performance. Platform: |
Size: 2048 |
Author:wang |
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Description: ％ EM algorithm for k multidimensional Gaussian mixture estimation
％
％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ maxiter - maximum number of iteration allowed ([] for none)
％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
％
％ Ouputs:
％ W(1,k) - estimated weights of GM
％ M(d,k) - estimated mean vectors of GM
％ V(d,d,k) - estimated covariance matrices of GM
％ L - log likelihood of estimates
％- EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates Platform: |
Size: 3072 |
Author:Shaoqing Yu |
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Description: 由生成的深度图象数据用平滑算子和差分方法求曲面的高斯曲率和平均曲率-By the depth of image data generated by a smooth operator and the difference method for the Gaussian curvature surface and the average curvature Platform: |
Size: 1024 |
Author:吕娴娜 |
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Description: 对15阶高斯导函数给出各自的峰值功率，从图中可以看出他们的峰值功率的区别！-15-order derivative of Gaussian function are given their peak power, can be seen from the graph of their difference between peak power! Platform: |
Size: 1024 |
Author:娜娜 |
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Description: 利用opencv实现帧差法得到视频中的运动物体-Opencv use to achieve video frame-difference method of moving objects Platform: |
Size: 6159360 |
Author:健健 |
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Description: 视频运动物体检测，采用混合高斯分布建立背景模型及差分方法对背景模型进行更新-Sports video object detection, adopt a mixed Gaussian distribution model and set up the background difference method to update the background model Platform: |
Size: 1024 |
Author:齐欣 |
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Description: 自己写的vc 读取YUV视频信号 进行帧差法进行目标跟踪 ，高斯背景模型提取，-Vc wrote it myself to read YUV video signal frame-difference method for target tracking, Gaussian background model extraction, Platform: |
Size: 3947520 |
Author:kaka |
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Description: In this paper, a two-dimensional (2-D) transverse
magnetic (TM) mode finite difference time domain (FDTD)
method is used to simulate the indoor radio wave propagation
and model the indoor ultra wideband (UWB) channel. The
modulated Gaussian pulse, which is satisfied the UWB signal
definition and Federal Communications Commission (FCC) indoor
limit spectral mask, is used as the UWB excitation signal. Platform: |
Size: 3072 |
Author:baba |
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Description: 对图像进行双边滤波的函数。有两个高斯核，一个是对像素点见的距离，一个是对像素点见的灰度差。-Right image bilateral filtering function. There are two Gaussian kernel, one is the pixel to see distance, one is to see the gray scale pixel difference. Platform: |
Size: 2048 |
Author:陈利聪 |
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Description: DOG高斯差分实现物体识别中的特征提取,对不同尺度空间的图像进行差分，从而获得描述物体的特征值-difference of gaussian to achieve the feature point exaction of object recognition Platform: |
Size: 2048 |
Author:lily |
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Description: 这是一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码 的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交和均匀变异。如果用 Gaussian变异替换均匀变异，可能得到更好的效果。代码没有任何图形，甚至也没有屏幕输出，主要是保证在平台之间的高可移植性。读者可以从ftp.uncc.edu, 目录 coe/evol中的文件prog.c中获得。要求输入的文件应该命名为‘gadata.txt’；系统产生的输出文件为‘galog.txt’。输入的 文件由几行组成：数目对应于变量数。且每一行提供次序——对应于变量的上下界。如第一行为第一个变量提供上下界，第二行为第二个变量提供上下界，等等。 -It is a very simple genetic algorithm source code, is Denis Cormier (North Carolina State University) developed, Sita S. Raghavan (University of North Carolina at Charlotte) amendment. Code to ensure as little as possible, in fact, do not have to troubleshooting. The application of a specific amendment to this code, the user simply changes the definition of constants and the definition of "evaluation function" can be. Note that the code is designed to seek maximum value, in which the objective function can only take positive and the function value and the individual is no difference between the fitness value. The system uses the rate selection, the essence of model, single-point crossover and uniform mutation. If you replace the uniform mutation with Gaussian mutation, may be more effective. Code without any graphic or even no screen output, mainly to ensure a high portability between platforms. Readers can ftp.uncc.edu, directory coe/evol file prog.c obtained. Required input file sho Platform: |
Size: 8192 |
Author:李礼 |
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Description: 用于背景差分的高斯混合建模，实现运动目标检测，c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation Platform: |
Size: 2755584 |
Author:chuck |
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Description: vc++和opencv,运用高斯建模的方法对场景进行背景建模，背景差分。从而检测出运动的物体，如机动车辆、行人，烟火等。-vc++ and opencv, using the method of Gaussian modeling scene background modeling, background difference. To detect moving objects, such as motor vehicles, pedestrians, fireworks, etc. Platform: |
Size: 36115456 |
Author:李风 |
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