moxing

3d cam for muonline game

从多张图像的轮廓重建3D物体，代码运行鲁棒，几乎没有Bug.(Images from more than the outline of the reconstruction of 3D objects, robust code to run, almost no Bug.)

该压缩文件是一个matlab编写的三维重建的示例程序(This zip file contains files that were used in the case study for image processing seminars given by The MathWorks. In brief, the code will take two images that were taken from adjacent layers of a solid wooden dowel. These images can be realigned based on their features such that the solid is reconstructed. This demo shows two images being realligned, but the process can be followed for all the pairs, recreating the entire solid. The benefit of this code is that the realignment is done automatically. )

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)

立体匹配 asw算法实现 立体匹配经典局部算法(adapsive support weight algrithom)

计算单应矩阵，输入为2D图像坐标点和3D世界坐标点，输出为3x3单应矩阵(Calculate homography)

说明：  基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法源代码(Based on Bayesian (BAYES) threshold wavelet (WAVELET) image denoising algorithm source code)

说明：  本编程用于求解点到曲面的距离，快捷便利。(Solving the Distance from Point to Surface)

3D模型变换的VC++源程序，用户可在此基础继续进行研究(3D model transformation of the VC++ source code, users can continue to study on this basis,)

这是微软Win8 上宣布放弃Mirror driver之后推荐采用的抓屏技术， 全部基于D3D/DXGI技术， 效率非常高， 并且包含变化区域和屏幕鼠标光标。它的缺点是没法抓取某个窗口的内容 。(This is a renounced Mirror driver after Microsoft Win8 recommended screen capture technology, all based D3D/DXGI technology, efficiency is very high, and contains changes in the regional and screen mouse cursor. The disadvantage is that the contents of a window can not crawl.)