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duo-te-zheng
- ：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒
aaa
- 1.图像尺度转换，降低图像分辨率，采用局部平均法、中值法；2.图像质量评价：均值、标准差、信息熵、平均梯度-1.Image scaling, reducing image resolution, using a local average、median method；2.Image quality assessment: the mean, standard deviation, entropy, average gradient
An-HOG-LBP-Human-Detector
- 一种基于HOG-LBP特征的人脸检测方法，对于遮挡的人体非常有效。-By combining Histograms of Oriented Gradients (HOG) and Local Binary Pattern (LBP) as the feature set, we pro- pose a novel human detection approach capable of handling partial occlusion. Two kinds of detectors
recursion
- 递归，是函数实现的一个很重要的环节，很多程序中都或多或少的使用了递归函数。递归的意思就是函数自己调用自己本身，或者在自己函数调用的下级函数中调用自己。 递归之所以能实现，是因为函数的每个执行过程都在栈中有自己的形参和局部变量的拷贝，这些拷贝和函数的其他执行过程毫不相干。这种机制是当代大多数程序设计语言实现子程序结构的基础，是使得递归成为可能。-Recursion, is a function to achieve a very important part of many programs
WindsPhoto
- 支持本地上传和远程图片，自动盗链吝啬的国内门户提供的博客/空间/相册中的图片； 缩略图和列表两种方式显示，上传时自动生成缩略图，可以设置缩略图大小、文字水印和LOGO水印；-Supports local and remote upload pictures, automatic Daolian mean the domestic portal' s blog/space/album pictures thumbnails and list two ways to display, u
EyePos
- 最小邻域均值投影函数及其在眼睛定位算法.提出一种投影函数：最小邻域均值投影函数．该函数通过计算每条投影线上各像素点邻域均值的最小值 来跟踪图像中的低灰度特征．与传统的积分投影函数和方差投影函数相比，它以求最小值的局部选择性代替传统投 影函数的全局累加性，因此具有对片状噪声不敏感的特点、此外，在计算过程中，它还能记录最小值点的二维位置信 息，是一个二维的搜索算子、最小邻域均值投影函数的这些特点使其非常适合于眼睛定位．它对眼睛，特别是瞳孔，总 能够产生精确、鲁棒的响应通过在CAS—P
1_4
- 创建一个计时测试程序，比较公式节点和本地LabVIEW数学函数的平均执行时间。此程序需要一个For循环或一个平序或叠序结构以及一个Case结构。要求For循环运行计时测验N次，然后使用Statistics Express VI对结果做平均。要求顺序结构在代码运行之前以及代码运行之后对Tick Count进行采样。要求Case结构判定用户是要执行公式节点还是要执行本地LabVIEW数学函数。对每个分支运行计时测验程序。哪种方法执行时间最快？哪种方法最容易编程？别人要看程序时，哪种方法更容易理解-T
mesh-deformation
- (l)提出了基于最小二乘网格的自由变形技术。以最小二乘网格作为原始网格 的低分辨率网格，将两者之间的高低频差用局部标架编码，达到保持网格模型的 表面几何细节的目的。算法基本思想就是利用网格自由变形技术(均值坐标)控 制低分辨率的最小二乘网格，而不是直接控制原始网格 然后通过局部标架编码 重建变形后的网格。-(L) proposed a free-form deformation based on least squares of the grid technology.
Kernel-Adaptive-Filtering
- This book presents a comprehensive and unifying introduction to kernel adaptive fi ltering. Adaptive signal processing theory has been built on three pillars: the linear model, the mean square cost, and the adaptive least - square learning algo
getWeights
- When used to mean force, its magnitude (a scalar quantity), often denoted by an italic letter W, is the product of the mass m of the object and the magnitude of the local gravitational acceleration g [3] thus: W = mg. When considered a vector, weight
object-tracking-based-on-TOD
- 基于纹理和边缘方向特征融合的目标跟踪程序代码，是基于mean shift框架的-This paper proposes a powerful and robust local descr iptor,called textureorientation descr iptor(TOD). TOD consists of two components: texture and orientation. Considering that the human shape shows more s
KMean
- KMEAN C# In data mining, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. This results in a partitioning of the data sp
Non-Local Means Filter
- 能够实现图像的预处理也就是去噪处理，比中值滤波、均值滤波效果都要好。(Can achieve the image preprocessing is denoising, than the median filter, mean filtering effect is better.)
poisson_nlmeans
- An extension of the non local (NL) means is proposed for images damaged by Poisson noise. The proposed method is guided by the noisy image and a pre-filtered image and is adapted to the statistics of Poisson noise. The influence of both images ca
LMD
- 局部均值分解程序，可根据信号本身的信息进行自适应分解，用于信号数据或图形数据的分析处理。(The local mean decomposition program can be adaptively decomposed according to the information of the signal itself, which is used for the analysis and processing of signal data or graphic data.)
LMD
- 局部均值分解matlab代码，能够较好地将信号进行分解为一系列的PF分量(local mean decomposition)
算法lmd
- 针对局部均值分解算法过分解的问题，对程序内部做出了微小的改进，并且程序的运行时间得到了较大缩减(According to the problem of decomposition of local mean decomposition algorithm, small improvements are made to the program, and the running time of the program is greatly reduced.)
lmd
- 局部均值分解，Matlab文件,能有效分离信号。(Local mean decomposition)
LMD matlab程序
- 局域均值分解法将一组非平稳信号分解为若干个PF信号和一个残余信号。可以将高频信号分解为低频信号，并且没有失真。(The local mean decomposition method decomposes a group of nonstationary signals into several PF signals and a residual signal. The high frequency signal can be decomposed into low frequency sign
Non_Local_Means
- 非局部均值图像去噪matlab程序，可以直接运行，不需要修改，去噪效果还可以(Matlab program for non-local mean image denoising)