program

图形填充，单击画图形，双击后在封闭图形内填充图案(The graphics filled, click painted graphics, double-click in the closed graphics fill pattern)

基于二维照片的体素法三维重建程序，重建之前进行误差分析，效果还可以。(Voxel-based method two-dimensional picture reconstruction process, before reconstruction error analysis, the effect can be.)

一种属性离散化的方法，对粗糙集适用(An attribute discretization method, the rough set for)

matlab三维旋转。绕XYZ轴旋转的程序代码。(matlab three-dimensional rotation. Around the XYZ axis of the program code.)

这是单幅图片中的椭圆目标与方向位置检测matlab 程序(ellipse detection and position detection)

给定一个图像，其中包含足够的信息来计算地平面消失线和垂直消失点，以及一个已知高度的物体。然后，只要他们的头部和脚都可见，就可以在场景中的任何地方测量站在地平面上的人的高度。(Given an image which contains sufficient information to compute the ground plane vanishing line and the vertical vanishing point, and also one object of known height for which the top and base are imaged. Then the height of a person standing on the ground plane can be measured anywhere in the scene provided that their head and feet are both visible.)

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)

Using Chan-Vese model to segment 2D image (Using Chan-Vese model to 2D image segment)

直接运行TestMyCrust.m, 读取点云txt,或者直接加载mat文件 运行需要几分钟，耐心等待 完成后运行trianglenormal.m, 生成三角面片的法向量 运行完成得到tri.txt（组成三角面片的点的编号信息）,trinormal.txt(每个三角面片法向量数值)，diandian.txt(每个点云信息) 然后将三个数据当做stl_gen.exe的输入文件，得到trisuface.stl文件(run TestMyCrust.m, read point cloud file txt, or load mat file)

c2dm send the request in server