meanshift-tracking

说明：  基于局部Fisher准则的非线性核Fisher辨别分析，应用于有监督的特征提取与高维数据的有效降维。(Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.)

说明：  输入多幅图像实现帧间差分实现运动目标检测(Enter the number of inter-frame difference image realize realize moving target detection)

将压缩感知应用到图像分类方面，有详细的源码，下载就能运行(failed to translate)

ASP.NET甘特图表

使用C++和CUDA编写的双边滤波器。在平滑图像的同时可以保持边界(Using bilateral filter the C++ and CUDA written. Boundary can be kept in the smooth image while)

SAI图像插值算法 可插值uint8 uint16 图像(SAI image interpolation algorithm can interpolate uint8 uint16 image)

用傅立叶变换的方法在频率域实现图像处理，并比较从幅度和相位恢复图像的区别，已经通过调试(Fourier transform method used in the frequency domain realization of image processing, and compare the amplitude and phase from the difference between the restoration of images, has passed debugging)

利用互信息进行特征抽取的方法实现，能找到最具代表的特征，有效的实现了计算量的减少和可用来维数缩减(The use of mutual information feature extraction method of implementation, to find the most representative characteristics of an effective implementation of the computation of the reduction and can be used to reduce the dimension)

实现一个高精度指针仪表读数自动识别系统．用数码摄像头采集仪表的图像，然后利用数字图像处理技术识别刻度和指针，根据指针和刻度的相对位置计算指针读数值．使用条件霍夫变换（Constrained HOUGH Transfer）和中心投影分析法实现刻度的全自动识别，采用快速中心投影法进行指针检测与识别，识别速度达到68ms．实验结果表明该方法比传统方法速度快、精度高，系统读数平均误差仅为0．016％(To achieve a high precision automatic identification system pointer meter reading. Instrument with a digital camera capture images, then using digital image processing technology to identify scale and pointer, pointer and scale according to the relative position of the pointer readings calculated. Use Hough transform (Constrained HOUGH Transfer) and center projection analysis method to achieve scale automatic identification method using fast center projection target detection and recognition, recognition speed of 68ms. Experimental results show that faster than traditional methods, high accuracy, the system average error of only 0.016 of reading)

VC6.0环境下使用可视化工具VTK 实现三维重建方法是光线投影法，实现效果较好(3D-reconstruction)