davidlowe_correspondence

沙威关于压缩感知（包括多种重构算法）和小波变换的程序(compressive sensing and Wavelet and source code)

说明：  此算法可以实现任意两个图像的配准（整体平移） (This algorithm can achieve any two image registration (the overall translation))

用mfc编程实现数字图像处理的一些简单操作，只能处理bmp格式图片。调节对比度、亮度、边缘检测等。(Mfc programming with some simple digital image processing operations, can only deal with bmp format images. Adjust contrast, brightness, edge detection.)

考虑雨衰 阴影 和多径影响，可直接计算得到多重分形谱,非归零型差分相位调制信号建模与仿真分析 。( Consider shadow rain attenuation and multipath effects It can be directly calculated multi-fractal spectrum, NRZ type differential phase modulation signal modeling and simulation analysis.)

生成归一化植被指数(NDVI)数据产品及图象产品的IDL源程序(that GIS is likely to have own itself advantages in sample selection, presentation of findings and future record collation (Department for Environment, Food and Rural Affairs, 2007). It indicates that to imply GIS software for mapping hedgerows may a reasonable and good choice.)

说明：  这是一个包括bmp文件显示，图像二值化，细线化等集合的程序，可在tc中运行。 程序中有40 +的注释，你能很快的看懂程序(This is a bmp file, including display, image binarization, thinning and other collection procedures, can be run in the tc. 40 + program notes, you can quickly understand procedures)

haar小波变换 在图像配准中可以使用 进而进行基于小波金字塔的模板交互匹配(haar wavelet transform in image registration can be used to carry out based on wavelet pyramid interactive template matching)

海杂波生成程序 可以产生两个Bragg峰 对于学习海洋遥感 以及高频地波雷达的同学有很大帮助！(sea clutter)

卡耐基梅隆大学AAM算法中标定人脸上68个标志点的matlab程序(locate the landmark in the face images)

下面给出了48项泽尼克多项式，外加一项常数项。需要注意的是，读者并不需要严格按照下文所示的顺序排列这些泽尼克项，实际上在不同的应用和机构会采用不同的排列顺序。 表中的#0项是个常数或者说是平移项（piston term），这一项的系数也代表了平均光程差；而#1和#2项分别是x和y方向的倾斜项（tilt terms），#3代表了聚焦，因此，#1到#3项代表了波前的高斯或者近轴特性；#4和#5项代表了像散和离焦，#6和#7项代表彗差和倾斜，而#8项代表了3级像差和离焦，也就是说#4到#8项为3级相差项；同样地，#9到#15项代表了5级像差，而#16到#24项代表了7级像差，#25到#35项代表了9级像差，#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions. Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.)