搜索资源列表
opencv2.0-lib-dll-h
- opencv2.0的.lib，.dll,.h文件。opencv2全部安装要几百mb。懒得安装的话可以直接将引用库文件。使用方法同一般的库文件引用方式。-opencv2.0' s. lib,. dll,. h file. opencv2 full installation to a few hundred mb. Too lazy to install, then you can directly reference library file. To use the same library
track2
- 运动目标检测与跟踪：用的是pyramid L-K 光流追踪-Moving target detection and tracking: using a pyramid LK optical flow tracking
MulityResolution
- 利用OpenCv实现的Burt-Adelson图像金字塔算法，可以实现图像的L级分解和重构，代码的实现可能还不是很完善，如有什么意见或建议，请发到我邮箱mqzhen@163.com-Achieved using OpenCv Burt-Adelson pyramid algorithm images can be achieved in the L-level image decomposition and reconstruction, implementation of the code m
L-K
- opencv 下实现的L-k光流估算模型。有利于理解l-k光流、-the opencv achieved under the Lk optical flow estimation model. Conducive understanding lk optical flow,
OpticalFlow
- 用opencv2.3.1在vs2008开发的l-k光流法的运动估计，有详细的注释-Movement opencv2.3.1 in the vs2008 development lk optical flow method is estimated that there are detailed notes
myNorm
- Qt、Opencv环境下，演示连续范数的计算，绘制和显示。可以连续演示范数L1,L2,L3,L4.....L无穷，对于教学演示非常有用-Under Qt, Opencv environment, demonstrate continuous norm calculate the number of rendering and display. Can continue to play an norm L1, L2, L3, L4 ..... L infinity, is very useful
MTF
- Kal man 滤波是一种应用非常广泛的状态估计算法 基于信息融合的 Kal man 滤波包 括状态向量融合和测量融合两种方法 传统的 Kal man 方法 TTF 具有较低的估计误差和很长的计算时间 提出的状态向量和测量向量的融合模型 MTF 利用局部融合信息给出一种更好的状态估计 计算时间短 性能也比 TTF 高-Conventi onal Kal man filt er TTF based on i nf or mati on f usi on i ncl udes t Wo
CLGOpticflow
- 基于分层金字塔L-K微分法和局部全局相结合的运动估计算法CLG(Combined-local-Global)- The combination of motion estimation based on hierarchical pyramid L-K partial differential method and algorithm global CLG (Combined-local-Global)
moving-target-detection
- 静态背景下运动物体跟踪，采用L-K光流法，opencv源代码-Moving object tracking in static background, using L-K optical flow method, opencv source code
FBPtest1
- CT拍摄拍摄一周，步进1度，360张投影图像，使用S-L滤波，滤波反投影FBP算法进行二维断面重建(CT filming for a week, step 1 degrees, 360 projection images, using S-L filter, filter back projection FBP algorithm for two-dimensional section reconstruction)