denoise

一种稀疏角度下的重建算法，该算法是在matlab平台上实现的CT重建算法(A sparse angle reconstruction algorithm)

一个简单的基于AE的三维小程序，可以进行三维简单浏览、属性查询和图片输出(A simple three-dimensional system based on SceneControl,it can visualize the 3D objecct and query its information and output the picture)

从起始点和终止点同时进行RRT搜索，有效加快了搜索速度(RRT search at the same time from the starting point and the ending point effectively accelerates the search speed.)

nurbs曲面拟合，采用nurbs算法，对随机生成点阵进行曲面拟合(nurbs surface fitting using nurbs algorithm, on randomly generated lattice for surface fitting)

计算机视觉方面非常好的一本专业书籍，英文版PDF。详细介绍了计算机视觉领域运用的射影几何射影变换理论知识，介绍了相机标定的理论和方法，还有三维重建，立体视觉等方面的基础知识，一本不可多得教材！其中书中的代码实现都可以在网上下载，推荐！(Computer vision is a very good professional books, in English PDF. Details of the use of projective geometry projective transformation of theoretical knowledge in the field of computer vision, introduces the basic knowledge of the camera calibration theory and methods, as well as three-dimensional reconstruction, three-dimensional vision, a rare textbook! The implementation of the code in the book can be downloaded from the internet, recommended!)

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)

说明：  matlab图像处理，进行左右两图的匹配，有图像载入界面，匹配实现方便(matlab image processing, for about two graph matching, has image loading interface, matching the achievement of convenience)

在有障碍的环境中，有效避障搜索，到达目标点。(In an obstacle environment, effective obstacle avoidance search can reach the target point.)

VTK+MFC读取医学dicom图像及GPU三维重建(VTK MFC GPU)

利用连续两张图片中莫尔条纹实现位移测量，对条纹区域像素灰度值采用正弦函数拟合(Moire fringe displacement measurement in two consecutive pictures, fitting the gray value of pixels in fringe region with sinusoidal function.)