osgDotNet-x86-2.0.0-0.8.1

舰船尾流大涡模拟方法，利用三维大涡模拟方法建立舰船尾流场控制方程，结合实船的初始边界条件，对流场在3 个方向的速度及压强分布进行大尺度数值模拟分析(Considering the direct numerical lation( DNS) s defect of costing time and storage too much for the calculation of ship wake)

Nurbs曲线曲面源代码。其中包含德布尔算法计算B样条曲线，德布尔算法计算B样条曲线的导矢，B样条曲面，Nurbs曲线，Nurbs曲面。(The program code for NURBS curve and NURBS surface.)

基于ABAQUS UMAT二次开发的三维邓肯-张本构模型(A program for 3-D Ducan-Zhang model based on ABAQUS UMAT)

说明：  osg剖析教程，完整的阐述了osg一帧全过程，是一部osg入门的良好教程，且可以完整学习osg思想(osg analysis tutorial and complete description of the osg an entire process, is a good tutorial osg entry, and can complete learning osg thinking)

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)

OSG中智能指针的使用。自己写了一个类，用来模仿OSG的智能指针。(The use of intelligent pointer in OSG. I wrote a class that mimics the intelligent pointer of OSG.)

说明：  osgEarth的地形分页流程，我大致的写一下，感兴趣的话，大家可以去代码中看看，以MPEngine为例(osg tile TilePagedLOD* plod = new TilePagedLOD( _engineUID, _liveTiles, _deadTiles ); plod->setCenter ( bs.center() ); plod->addChild ( tileNode ); plod->setFileName( 1, Stringify() getKey().str()

三维重建程序，包括数据和代码，用的是SFM的方法，课程设计(Three-dimensional reconstruction program, including data and code, using SFM method, course design)

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)

一步步引导读者用C++实现计算机图形学中的各种基础数据结构(Lead reader to build the various data structrues of computer graphics step by step.)