HW3

对图像变形的一些基本算法的介绍和功能的描述等 (about marphing )

图像仿射匹配的经典文章，适合深度学习仿射匹配的研究生(Image the affine matching the classic article, suitable depth learning graduate affine matching)

激光雷达数据处理，点云及图像显示，为激光雷达数据处理提供参考依据。采用matlab软件 易于实现编程 (The leaf area index (LAI)was measured for each variety after the trials.All the obtained relationships were determined by measuring the weight and surface area of 50 samples collected from the bottom, middle and top parts of the vine.)

desing and develop a cube rotation

说明：  本设计是基于MATLAB GUI界面的特效处理系统。配一篇配套论文。探讨了包括色彩调整、代数运算、几何运算、滤镜效果、艺术效果、扭曲效果和风格化七个模块的处理。色彩平衡可以按照特定要求改变图像中每个像素的亮度值；代数运算可以对两幅图象进行代数运算；几何运算可以对图象进行简单的形状处理；滤镜效果是针对相临像素间的关系来处理每个像素，达到一种特殊的效果。艺术效果是可以将图象加工成精美的“艺术品” ；扭曲效果可以对图像进行变形处理；风格化属于破坏性滤镜，通过置换像素生成绘画或印象派的效果。(This design is a special effect processing system based on Matlab GUI interface. With a supporting paper. The processing of seven modules including color adjustment, algebraic operation, geometric operation, filter effect, artistic effect, distortion effect and stylization are discussed. Color balance can change the brightness value of each pixel in the image according to specific requirements; algebraic operation can carry out algebraic operation on two images; geometric operation can carry out simple shape processing on the image; filter effect is to deal with each pixel according to the relationship between adjacent pixels to achieve a special effect. The artistic effect is that the image can be processed into exquisite "artworks"; the distortion effect can deform the image; stylization belongs to destructive filter, which can generate painting or Impressionist effect by replacing pixels.)

对图像进行离散余弦变换处理（图像变换）的源代码，编译后的可执行文件须带参数运行(Image discrete cosine transform (image transformation) source code, compiled executable file carry operation parameters)

本程序可以实现MPEG-2I帧基本层编码和解码。图像大小为352*288.(This program implements the MPEG-2 I base layer frame encoding and decoding. Image size is 352* 288.)

说明：  360°图像序列的柱面全景拼接算法，matlab仿真程序。(360 image sequence cylindrical panoramic mosaic algorithm, matlab simulation program.)

detect face and recognition with lpd and pca

说明：  有数字1和2的图片各四十张，利用mat lab读取图片并将其二值化，得到只由0和1表示的矩阵，根据数字的不同特征，选择两个特征值，用来对分类器进行训练，最后用剩下的5个1和5个2来进行测试，看分类器是否可以正确的对数据进行分类。(Figures 1 and 2 pictures of the 40, using mat lab picture and secondly, the value of reading, and received only by 0 and 1, said matrix, according to the number of different features, select the two characteristic values, used to classifier training, and finally with the remaining 5 1 and 5 2 to carry out tests to see whether the classifier can correctly classify the data.)