3D-reconstruction

利用VTK三维重建软件与VS2010结合，读取格式为Dicom的系列图像，并能显示三维重建结果，语言为C++语言(Using VTK 3D reconstruction software and VS2010 combination, read the format of Dicom series of images, and can display three-dimensional reconstruction results, the language is C++ language)

最大类间方差法是由日本学者大津(Nobuyuki Otsu)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2部分。背景和目标之间的类间方差越大,说明构成图像的2部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2部分差别变小。(The largest between-class variance method was proposed by the Japanese scholar Nobuyuki Otsu in 1979. It is an adaptive threshold determination method, also known as the Otsu method, or OTSU for short. It is based on the grayscale characteristics of the image and divides the image into two parts: the background and the target. The larger the variance between the background and the target, the greater the difference between the two parts that make up the image. When the part of the target is wrongly divided into backgrounds or part of the background is mis-divided into goals, the difference between the two parts will be smaller.)

说明：  主动光学三维传感技术中的相位展开算法——二维菱形算法(Active optical sensing technology in three-dimensional phase unwrapping algorithm- Algorithm for two-dimensional diamond)

3D打印源码，引擎源码，包括头文件和库文件(3D print source code)

对二维数据进行变分模态分解，可用于地震数据去噪等(Variational mode decomposition of two-dimensional data can be used for seismic data denoising, etc.)

x3d做的电影院,分三个场景，有影片点播功能(cinima)

无人机路径规划。在给定的三维空间中搜索一条安全可行的无人机飞行路径(Path Planning. In a given three-dimensional space to search for a safe and feasible UAV flight path)

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：  这个程序是用harr小波对图像进行分解和重构，是个可执行的源代码，已通过调试，大家可用来学习(this procedure is right Harr wavelet image decomposition and reconstruction, is the source of executable code, the debugging, you can be used for learning)

2D凸多边形的三角网格生成，可用gridgen。(2D triangular convex polygon mesh generation, available gridgen.)