2009CVPR-bestpaperPcodes

图像处理中边缘提取几种方法的matlab代码(many edge extraction codes about image processing)

数字图像快速傅里叶变换（FFT）。将图像转化成二维灰度图像后再做FFT变换，并输出变换后的幅值图。(Digital image fast Fourier transform (FFT).The image is transformed into a two-dimensional gray level image and then the FFT transformation is made, and the amplitude diagram is output after the transformation.)

一个简短的计算图像信息熵的程序，对于初学IDL的开发者来说，有一定的借鉴作用(A brief image information entropy calculation procedure, IDL for beginner developers who have a certain reference)

用八叉树法对逆向工程得到扫描的三维实体模型图像处理，实现了对大量点云数据进行三维网格构建。(Octree method of reverse engineering can be scanned 3D solid model of image processing, realize the construct 3D mesh of a lot of point cloud data.)

虹膜识别的完整程序，有图片，有说明，可以用(The integrity of the iris recognition process, there are pictures, there are shows that can be used)

非常经典的彩色转移算法的原文及源代码，是学习彩色转移必须看的。(The text of the classic color transfer algorithm and the source code, is the study of color transfer must see it. )

三维激光点云配准是点云三维建模的关键问题之一。经典的 ICP 算法对点云初始位置要求较高且配准 效率较低，提出了一种改进的 ICP 点云配准算法。该算法首先利用主成分分析法实现点云的初始配准，获得较好 的点云初始位置，然后在经典 ICP 算法的基础上，采用 k － d tree 结构实现加速搜索，并利用方向向量夹角阈值去除 错误点对，提高算法的效率。实验表明，本算法流程在保证配准精度的前提下，显著提高了配准效率。 (Three-dimensional laser point cloud registration is one of the key three-dimensional point cloud model. High classical ICP algorithm to the initial position of the point cloud registration requirements and low efficiency, proposed an improved ICP point cloud registration algorithm. Firstly, the use of principal component analysis of the initial point cloud registration, get a better initial position of the point cloud, then the basis of classical ICP algorithm using k- d tree structure to achieve speed up the search, and using the direction vector angle the removal of the threshold point error and improve the efficiency of the algorithm. Experiments show that the algorithm processes to ensure the accuracy of registration under the premise, significantly improve the efficiency of registration.)

这是一个实现了发表在CVPR2006的抠图算法。(This package contains an implementation of the matting algorithm described in the CVPR2006 paper.)

PCA的matlab实现源码，初学者实用(Matlab realize the PCA source beginners practical)

视觉仿生学在图像处理中具有非常重要的作用，视觉侧抑制原理在目标增强中具有很大的潜力(Bionics in visual image processing has a very important role in the visual principles of lateral inhibition in the target has great potential to enhance)