d3dx9_26

说明：  结构光三维重建，用来生成点云，精度较高，速度较慢。(Three-dimensional reconstruction of structured light)

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.)

说明：  D3D开发的三维坦克大战程序，碰撞，战斗效果！值得借鉴哦，呵呵！(D3D development of 3D tank warfare program, collision, combat effects! To be learned Oh, Oh!)

安卓3D相册 带有阴影立体浏览 采用Grallery控件 用Eclipse导入工程(Andrews shaded 3D stereoscopic browse album Use Grallery control Import project with Eclipse)

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)

说明：  基于matlab三维重建代码，及基础知识的了解和掌握(three-dimensional reconstruction)

光度立体视觉理论与应用,学期大作业，代码详细，有演示文档。 photometric stereo(Photometric stereo theory and application of the term big job, the code in detail, with presentation. photometric stereo)

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)

这是一个非常好的图象分割程序,基于纹理分割的,保证别人没有上传过(very good image segtation)

说明：  德国斯图加特大学图形图像方面的技术超牛的，spvolren是他们的开源体绘制，完全基于C和glut，随意跨平台(Stuttgart, Germany University of graphics images technical super cow, spvolren is their open-source volume rendering, based entirely on the C and the glut, casual cross-platform)