lane-detect

bag of words 图像识别算法，斯坦福大学李飞飞实验室做的demo(bag of words)

RANSAC算法是一种经典的去外点方法，它可以利用特征点集的内在约束关系来去除错误的匹配。(RANSAC algorithm is a classic way to go outside the points, it can take advantage of the inherent characteristics of point sets constraints to remove false matches. )

说明：  ORL人脸图像库，共40人，每人10幅图像，其中每人的前5幅作为训练样本，后5幅作为测试分类样本，统计正确分类率。分类准则为最近邻规则。 真实的图像尺寸为112x92，列向量堆积对应人脸库矩阵的每一列。 (ORL face image database, a total of 40 per 10 images, each of which the first five as training samples, after the 5 categories as a test sample, correct classification rate statistics. Classification criteria for the nearest neighbor rule. The real image size is 112x92, the corresponding column vector face database matrix accumulation of each column.)

说明：  一维高斯粗糙面、三维高斯粗糙面的建模，基尔霍夫近似法求散射系数(Modeling of one-dimensional Gaussian rough surface and three-dimensional Gaussian rough surface, and Kirchhoff approximation method to calculate scattering coefficient)

利用互信息进行特征抽取的方法实现，能找到最具代表的特征，有效的实现了计算量的减少和可用来维数缩减(The use of mutual information feature extraction method of implementation, to find the most representative characteristics of an effective implementation of the computation of the reduction and can be used to reduce the dimension)

RobustPCA 是最近提出的一种非常新的图像矩阵分解算法，该算法具有对噪声不敏感、能处理高维图像数据的特点。这是论文作者提供的 MATLAB 实现代码。(Oct 2009 This matlab code implements the augmented Lagrange multiplier method for Robust PCA. )

blkproc.m,DCHuffmanEncoding.m,ACHuffmanEncoding.m,zigzag.m,PSNR.m, 对灰度图像进行DCT变换,量化,ZigZag扫描,Huffman编解码,反量化,反DCT变换而重建图像。 其中，blkproc.m为分块DCT变换函数； DCHuffmanEncoding.m，ACHuffmanEncoding.m分别为DC和AC变换系数的Huffman码表函数； zigzag.m为ZigZag扫描函数；PSNR.m为求图像峰值信噪比函数。 Copyright 2008 Reserved @ Wang Chengyou @ Tianjin University, P.R.China. (This function tests the DCTJPEG codec)

bitmap rotate for visual c and c++ builder

对彩色图像进行小波融合，融合后图像在视觉上有了很大的改善。(Color images of wavelet fusion images visually a great improvement.)

光斑中心提取算法，在VS2010下，用opencv2.3.1编写的控制台程序，主要功能是利用hession矩阵和高斯滤波进行光斑中心点提取，里面附测试图片，提取精度为亚像素级别。(Spot center extraction algorithm, in VS2010, written by opencv2.3.1 console program, the main function is to use hession matrices and Gaussian filter for extracting the center spot, which is attached test images, the extraction accuracy of sub-pixel level.)