Lorenz-3d-plot

演示地形绘制与漫游，取自OGRE例子，地形管理器会自动应用八叉树分割来管理地形。(Demo terrain rendering and roaming, from OGRE example, terrain Manager automatically applied octree division to manage the terrain.)

说明：  显示三维坐标系，及刻度，网格，并且可以随着自定义方位角和视角的变换而做出相应的改变。(According to 3 d coordinate system, and the scale, the grid, and it can with custom azimuth and perspective transformation and makes the corresponding change)

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：  非刚性三维重建实例代码，源自一篇IEEE论文。(Non-Rigid SFM code from an IEEE paper.)

说明：  3D照片墙，swf不是代码哦,值得借鉴一下(3D Photo Wall, swf not the code Oh, is worth learning about)

说明：  灰度图像分割，三维大津法或三维最大类间方差法(3D Maximum Between Cluster Variance)

NPR_framework 3D model viewer.

关于散乱点三角网格化的论文，非常有参考价值。(On the triangular grid paper, is a valuable reference.)

在MC（Marching Cubes）算法中,考虑了二义性的问题，是一个很好的程序(MC (Marching Cubes) algorithm, consider the ambiguity problem, it is a good program)

PCA IMAGE FUSION ,A GOOD MATLAB FILES