搜索资源列表
LBF_v0.1
- 关于图像边缘检测中主动轮廓模型的一个算法- This Matlab file demomstrates a level set algorithm based on Chunming Li et al s paper: "Implicit Active Contours Driven By Local Binary Fitting Energy" in Proceedings of CVPR 07
DxSampleCxImage
- GMM GMM高斯混合模型聚类 Gaussian mixture model clustering-GMM GMM Gaussian mixture model clustering
algorithmbehavior
- 针对行为识别中行为者朝向变化带来的问题,提出了一种基于人体行为3D模型的2D行为识别算法.在学习行为 分类器时,以3D占据网格表示行为样本,提取人体3D关节点作为描述行为的特征,为每一类行为训练一个基于范例的隐马 尔可夫模型(Exemplar-based hidden Markov model,EHMM),同时从3D行为样本中选取若干帧作为3D关键姿势集,这个 集合是连接2D观测样本和人体3D关节点特征的桥梁.在识别2D行为时,2D观测样本序列可以由一个或多个非标定的摄 像机采集
GMM
- 建立了混合高斯模型，可以对静止背景下运动目标进行检测。-Gaussian mixture model is established, you can still detect moving target in the background.
work2
- 建立各种简单的2d,3d模型,通过组合达到想要的结果-Establish a simple 2d, 3d model, to achieve the desired results through a combination of
GMMandSGM
- 一篇详细的介绍高斯混合模型（GMM）参数优化及实现的文档，有实例, 包括VC及matlab 实现。初始学者一看就能懂-A detailed descr iption of Gaussian mixture model (GMM) parameter optimization, and implementation documentation, including the VC and the matlab implementation
gvf_SSF
- 基于gvf(Gradient Vector Flow)的主动轮廓模型(snake)图像分割算法。 包括3个算法的实现，即基本SNAKE，ballon snake, 和GVF snake. 都采用了参数解法，很适合初学者使用-Based gvf (Gradient Vector Flow) of the active contour model (snake) segmentation algorithm. Including the three algorithm, namely, th
ContourAbstract
- 用MFC开发的简单的图像二值化轮廓提取和主动轮廓模型的轮廓提取-MFC Development using simple binary image contour extraction and contour extraction of active contour models
a-kind-of-snake-codes
- 主动轮廓模型又叫做snake模型，是图像分割中的经典之作，本压缩文件中包含了大量基于snake模型的图像分割实现程序-Active contour model is also called snake model, image segmentation is classic, the compressed file contains a large number of image segmentation based on snake model to achieve program
demo
- 稳健点集配准的高斯混合模型程序。可用于轮廓提取后的图像配准。-Robust point set registration process Gaussian mixture model. After the contour extraction can be used for image registration.
js_gmm_Lee
- 根据Lee与2005年发表的混合高斯模型背景建模的论文编写的源代码，可以作为对GMM算法改进的一个参考。-According to Lee s paper published in 2005 about GMM background modeling, it is written in C. It should be a reference for those who are intrested in GMM algorithm improvement.
arma
- ARMA模型并画图 实现误差分析并验证实验结果-ARMA model
GM
- 灰色模型中常用的一些通用代码，源码可以用于预测，并且还能计算出灰色模型的相关参数。-Grey model of commonly used some general code, source can be used to predict, and also can calculate grey model related parameters.
ASM模型
- 使用MATLAB软件运行ASM模型对人脸进行检测和拟合(MATLAB software is used to run the ASM model to detect and fit the human face)
多自由度振动模型
- 一个四自由度机械振动系统为例, 利用 Matlab仿真软件对多自由度机械振动系统进行建模及仿真分析.(A mechanical vibration system with four degrees of freedom is taken as an example. Modeling and simulation analysis of the multi degree of freedom mechanical vibration system is carried out by using
预处理+边缘特征提取+形心骨架模型
- 内含检测视频，用于特征的提取，使用的matlab 软件，功能非常强大(Embedded detection video, used for feature extraction, matlab software, is very powerful)
水平集C-V模型
- 关于ChanVess水平集分割模型的matlab代码(The matlab code for the ChanVess level set partition model)
snake
- 图像处理领域经典的几个模型，主动轮廓模型和梯度矢量流主动轮廓模型，用于像素图像的轮廓收敛。(Snake model and GVF Snake model)
mixture_of_gaussian
- 利用混合高斯模型对一个图像序列或视频进行背景的去除，检测运动目标(Using the mixed Gaussian model to remove an image sequence or video background, or detect the moving target.)
高斯混合模型GMM-latentSpace-v2.0
- 用于背景建模实现视频运动目标分割 与目标跟踪算法(For background modeling, video moving object segmentation and object tracking algorithm)