iges2matlab2

3D colour histogram of an image

转动的彩色立方体（1~2人）谭飞、吴颖颖 1) 绘制一个不停转动的彩色立体球，可以绕着任意方向旋转； 2) 采用一定的光照明技术，考虑环境光、反射光以及镜面光的作用； 3) 采用消隐算法，体现立方体表面的遮挡关系； 4) 具有较好的动画效果，消除闪烁现象； 5) 不可以采用OpenGL中的函数。 (Rotating color cube (1 ~ 2)谭飞,吴颖颖1) draw a non-stop rotation of the color three-dimensional ball, you can spin around in any direction 2) the use of certain lighting technology, consider the ambient light, reflected light and the mirror The role of surface light 3) the use of blanking algorithm, reflecting the relationship between cube block surface 4) has good animation effects, to eliminate flicker phenomenon 5) can not be used in a function of OpenGL.)

vrml实例，房子，带围墙，门窗。门窗可打开(Examples vrml，House with walls, doors and windows. Doors and windows can be opened)

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.)

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)

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)

最大类间方差法是由日本学者大津(Nobuyuki Otsu)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2部分。背景和目标之间的类间方差越大,说明构成图像的2部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2部分差别变小。(The largest between-class variance method was proposed by the Japanese scholar Nobuyuki Otsu in 1979. It is an adaptive threshold determination method, also known as the Otsu method, or OTSU for short. It is based on the grayscale characteristics of the image and divides the image into two parts: the background and the target. The larger the variance between the background and the target, the greater the difference between the two parts that make up the image. When the part of the target is wrongly divided into backgrounds or part of the background is mis-divided into goals, the difference between the two parts will be smaller.)

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)

osgsdk 在C#下的开发环境 osg 2.0(osg C# development environment. . . . . . . . . . . . . . . . . . . . . . . . . .)

说明：  本方法采用pca进行特征提取，knn分类器进行人脸识别。(The method of feature extraction using pca, knn classifier for face recognition.)