POCS_TVM

主成分分析法能较好地实现图像融合，特别是空间特征保持非常好，但光谱特征的保持性要差一些。(Principal Component Analysis to achieve a better image fusion, in particular, to maintain a very good spatial characteristics, but to maintain the spectral characteristics of some worse.)

人脸识别的实例，其中含有项目题目，解决方案以及实现程序和工具箱(Examples of face recognition, which contains the project topic, the solution as well as the implementation procedures and toolbox)

图像取对数运算，很有帮助 (Images taken of the number of calculations, useful)

对监控视频中的目标进行识别，提取背景信息(The target in the surveillance video is identified and background information is extracted)

调用标定好的双目摄像机，利用其内外参数进行立体匹配，计算所拍图像的视差，产生深度图(Call the calibrated binocular camera, use its internal and external parameters for stereo matching, calculate the parallax of the captured image, and generate depth map)

人脸检测程序。在菜单上有许多功能选项，可实现多角度，多目的检测。(face detection procedures. In the menu options are many functions that can be achieved from different angles, multi-purpose testing.)

实现热键截图的功能，把截到的图片保存到制定的文件夹中，然后把图片输出到报表中，形成报表！(Achieve hotkey screenshot function, the cut-off to save the picture to develop a folder, and then the picture output in the report, the formation of statements!)

实现通过用户给定B样条曲线的控制顶点、设定B样条曲线的次数及类型，进而绘制出相应的B样条曲线和对应的基函数图形。并且可以通过鼠标拖拽控制顶点修改B样条曲线和对应的基函数图形。从而，对B样条曲线和基函数的性质有更深入更直观的了解，理解B样条曲线和基函数的对应关系，在以后的学习中能更好地运用B样条曲线。(The number and type of user to achieve a given control vertices B-spline curve, set the B-spline curves, and then draw the corresponding B-spline basis functions and the corresponding graphic. And can be modified by dragging the mouse to control the apex B-spline curves and the corresponding basis function graphics. Thus, the nature of the B-spline curves and basis functions have a deeper and more intuitive understanding, understanding of the correspondence between the B-spline curves and basis functions in later learning to better use of B-spline curves.)

说明：  图像的DCT变换 提取高频分量 和低频分量 (DCT change)

说明：  经典的图像像素层融合算法-Brovery.程序输入中两幅图像需经过配准，大小一致。matlab代码内有详细的注释。其他像素层融合算法可仿照此修改即可。需要配对图像和运行结果、其它基于小波融合代码的可发邮件给我。非常乐意和大家共享编程乐趣。(classic image pixel level fusion algorithm-Brovery. Import procedures which require a two image registration, the same size. Matlab code with detailed comments. Other pixel level fusion algorithm can be modeled on this amendment. Image matching needs and operating results, the other based on wavelet integration code can mail it to me. Very happy to share programming and fun.)