edge_erode

用于求取三维点云数据的法向量，我的人脸建模就是用的这个，效果很好，但必须保证点云没有重叠的，否则会出现严重错误。(Strike a 3D point cloud data for normal vectors, and my face is to use this model, the effect is very good, but must ensure that there is no overlap of the point cloud, there would be a serious mistake.)

压缩传感重构算法：稀疏基采用离散余弦变换的omp重构算法(Compressed sensing reconstruction algorithm: sparse basis using the discrete cosine transform reconstruction algorithm omp)

机场飞机快速匹配,程序利用已知飞机模板实现飞机的快速匹配定位.(Airport fast match, the procedure known aircraft aircraft quickly realize the template matching.)

test figure example to check gui

对图像进行欠采样，然后利用OMP 进行重构，其中用到了小波矩阵进行稀疏(The image is undersampled and then reconstructed by OMP, in which the wavelet matrix is used for sparsity.)

MATLAB仿真三维海浪模型，通过模拟来进行立体仿真和二维建构(3D construction of sea wave based on MATLAB simulation)

把二值化的raster转成shp，中间借助了evf(The binarization raster into shp, intermediate with the evf)

《计算机辅助几何设计与非均匀有理B样条》(Computer aided geometric design and nonuniform rational B spline)

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)

通过使用MATLAB语言建立三维渐开线齿轮啮合模型(use MATLAB to draw 3-D gear)