ootsut

Stereoscopic video coding

通过matlab实现jpeg图像压缩编码。(To realise jpeg coding.)

一种基于SIFT的图像配准方法，目前使用最广泛的一种配准方法。性能优。(One kind SIFT image registration method based on the most widely used kind of registration method. Excellent performance.)

厦门大学OJ上的ACM题1071目前最好算法,原创作品()

本程序是基于Matlab的米粒图像的分割、计数以及周长、面积、形状因子等参数的计算。图像分割是基于腐蚀膨胀算法，选用边界跟踪法计算周长，程序代码清晰明了，对于参数的计算速度较快，且参数计算精度较高。(This procedure is based on the Matlab image segmentation grain of rice, counting and perimeter, area, shape factor and other parameters of the calculation. Image segmentation is based on the corrosion expansion algorithm, the choice of boundary tracking method perimeter, code clarity, the parameter calculation is faster and higher precision parameters.)

说明：  用于物体目标轮廓的提取与跟踪，能更好的识别出物体轮廓。(Target contour for object extraction and tracking, to better identify the contours of objects.)

说明：  这是一个图像配准的MATLAB代码，有很好的GUI界面，以像素级进行配准。(The image matching MATLAB code is based on pixel with a good GHI.)

基于颜色特征向量的粒子滤波跟踪程序，修复了因粒子超过窗口范围出现ERROR的BUG，还包括了一些有助于粒子滤波学习的资料！！(color-based particle filter tracking, some bugs have been fixed, some information about PF Tracking is included too!!)

surf特征点提取与匹配，该算法能达到实时性的要求，不仅能用于两幅图的匹配，还能用于单幅图的复制粘贴取证(surf feature point extraction and matching, this algorithm can achieve real-time requirements, not only for the two graph matching, but also for single figure copy and paste forensics)

程序将界面与数据处理分开，界面采用MFC的对话框模板，对注册、训练、识别和主界面分别建立一个类，通过消息处理函数与用户进行交互，利用多线程来实时显示图像。 数据处理又分为了CFaceAlign（人脸检测+几何归一化）、CLightPrep（光照归一化）、CFaceFeature（Gabor特征提取）、CSubspace（计算Fisherface子空间）四个类，还有一个类 CFaceMngr 负责管理界面与数据之间的交流。这样的程序结构使对界面和算法彼此独立，互不影响。 每个类的具体方法请见相应头文件中的注释。(The program will interface with the data processing separate interface using MFC dialog template, registration, training, recognition and the main interface, respectively, to create a class that interacts with the user through a message handler, using multiple threads to display images in real time.   Data processing is divided into a CFaceAlign (Face Detection+ geometric normalization), CLightPrep (illumination normalization), CFaceFeature (Gabor feature extraction), CSubspace (computing Fisherface subspace) four categories, as well as a class is responsible for managing CFaceMngr interface and data exchange between. Such a program structure allows for interfaces and algorithms are independent of each other. Specific methods of each class, see the comments in the appropriate header files.)