RestoreTools

内容为matlab的三维重建程序，达人可进来看，不适合初学者(Matlab says the three-dimensional reconstruction procedures, Tatsu can come watch, not suitable for beginners)

1、对观测数据进行中心化，； 2、使它的均值为0，对数据进行白化—>Z； 3、选择需要估计的分量的个数m，设置迭代次数p<-1 4、选择一个初始权矢量（随机的W，使其维数为Z的行向量个数）； 5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W （这个公式是用来逼近负熵的） 6、用对称正交法处理下W 7、归一化W(:,p)=W(:,p)/norm(W(:,p)) 8、若W不收敛，返回第5步 9、令p=p+1，若p小于等于m,返回第4步 剩下的应该都能看懂了 基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)

最小二乘图像影像匹配方法，一个很详细的源码例程，有过程有结果，希望对初学者有帮助。高斯解方程，以及最小二乘匹配，里面都很详细。(Squares image image matching method, a very detailed source code routines, the outcome of the process, I hope to help beginners. Gaussian solution of equations, and least squares matching, which is very detailed.)

这是图象处理模式识别一书的源代码，包括C++和MATLAB的程序，对于做这方面的研究人员来说，会很有帮助的。(This is an image processing pattern recognition on the source code, including C and Matlab procedures for doing this kind of research personnel, will be very helpful.)

matlab 实现暗通道去雾算法 根据cvpr论文改编(matlab channel to achieve the dark fog adaptation algorithm based on cvpr papers)

基于MATLAB的数字图像处理程序，给出一幅染色体图像，通过边缘检测，及腐蚀等算法统计出染色体的数量。(MATLAB-based digital image processing procedures, are given a piece of chromosome images, through the edge detection, and corrosion, such as algorithm statistics the number of chromosomes.)

说明：  recon基于双视图的人脸特征三维重建，一个视图为正投影，另一个是水平方向旋转，假定正交投影模型，getfeature用于从图像上标记特征点(facial feature reconstruction based on two views)

超炫个性化首页，首页三种随机场景，特效震撼(Stunning personalized homepage)

Sobel算子就是一种基于方向导数掩模求卷积的方法。通过边缘检测算子可以检测到每个像素的领域并对灰度变化率进行量化，也包括方向的确定。该代码是基于sobel算法的检测程序。(Sobel operator is a directional derivative mask and convolution methods. To each pixel and gray level in the field rate of change can be detected through the edge detection operator to quantify, including direction. The code is based on sobel algorithm testing procedures.)

说明：  CUDA图像处理的程序，这个程序速度快，效率高(CUDA image processing program)