SIFT_image_mosaic

字符权的匹配的算法 The algorithm for matching character rights(Right of character matching algorithm, The algorithm for matching character does)

进行边界轮廓标定的snake算法工具箱，距离势能 gvf 以及传统sanke等各种snake(The boundary contour of the snake algorithm calibration kit, from the potential gvf and other traditional snake sanke)

这是一篇关于超声相控阵二维面阵实现三维成像的文章，很不错。(This is an article on ultrasonic phased array two-dimensional array of three- dimensional imaging article, great.)

It is a telephone directory written in c++ with beautiful graphics.

《计算机辅助几何设计与非均匀有理B样条》(Computer aided geometric design and nonuniform rational B spline)

说明：  Hough 变换，探测圆的半径，可以探知未知圆的半径和圆心(Hough transform, circle detection radius, you can explore the unknown circle radius and center)

实现双目立体视觉中深度图的获取，程序输出结果为深度图，该方法速度比较快。(Binocular stereo vision depth map acquisition, program output as a depth map, the faster the speed of the method.)

说明：  图像配准是图像处理的热点问题，本代码提供关于图像配准的一个代码(Image Registration image processing is a hot issue, the code on the image of a registration code)

一个比例和方向自适应均值漂移跟踪算法（SOAMST） 提出本文所要解决的问题，如何估计的规模和方向 改变均值漂移下的目标跟踪框架。在原来的均值偏移 跟踪算法，可以很好地估计目标的位置，规模的同时， 方向的变化，不能自适应估计。考虑到图像（重量） 是来自于目标运动模型和候选模型可以代表的可能性，一个 像素属于目标，我们证明了原来的均值漂移跟踪算法可以 推导出的重量图像的零阶和一阶矩。随着零阶 矩和目标模型和候选模型之间的Bhattacharyya系数， 提出了简单而有效的方法来估计的规模为目标。然后一种方法， 利用估计的区域和第二阶中心矩，提出 自适应地估计目标的宽度，高度和方向的变化。广泛 实验来证实所提出的方法，并验证其可靠性 规模和方向变化的目标。(A scale and orientation adaptive mean shift tracking (SOAMST) algorithm is proposed in this paper to address the problem of how to estimate the scale and orientation changes of the target under the mean shift tracking framework. In the original mean shift tracking algorithm, the position of the target can be well estimated, while the scale and orientation changes can not be adaptively estimated. Considering that the weight image derived from the target model and the candidate model can represent the possibility that a pixel belongs to the target, we show that the original mean shift tracking algorithm can be derived using the zeroth and the first order moments of the weight image. With the zeroth order moment and the Bhattacharyya coefficient between the target model and candidate model, a simple and effective method is proposed to estimate the scale of target. Then an approach, which utilizes the estimated area and the second order center moment, is proposed to adaptively e)

voronoi图的Fortune算法源码,visual c++(Fortune s algorithm source code of voronoi diagram with visual c++)