Point Cloud Mosaic Using PCL

主成分分析 （ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)

相机标定,Tsai 张正友算法,Matlab实现((Camera calibration, Tsai zhangzhengyou algorithm, Matlab achieve))

分割区域图像,好滴哦将按计划啊房价跌幅 安防科技来得及(for photo segemetation)

此matlab程序，用来检测并定位人脸及人眼。采用的算法是肤色的颜色分隔。附件中的文件包括 eyematch.m, eyematch2.m, face.m, findeye.m,skin.m, k001.JPG等等(This matlab procedures used to detect and locate human faces and the human eye. Algorithm used in the color of skin are separated. Attachment of documents including eyematch.m, eyematch2.m, face.m, findeye.m, skin.m, k001.JPG and so on)

基于lloyd-max最佳量化器的量化程序，如有需要可随时下载。(Based on the best lloyd-max quantizer quantization procedure, if necessary, at any time to download.)

说明：  用于计算图像的信息熵和相关性系数，在信息隐藏的图像算法评价中有很好的应用。(It is used to calculate the information entropy and correlation coefficient of image, and has a good application in the evaluation of image algorithm of information hiding.)

说明：  基于SegNet实现了车道线的识别。里面包含已经训练好的模型。(Lane line recognition based on SegNet contains the trained model.)

说明：  本代码能实现matlab图中图，可以在figure中实现局部放大图，从而实现整体趋势和局部展示的目的。(This codes can realize the MATLAB graph, iand the codes can realize the local enlargement map in the figure, so as to achieve the overall trend and the purpose of partial display.)

用于PDA的GPS源代码(for PDA GPS source code)

说明：  利用小波双线性超分辨率重建算法得到的重建图像会出现低、高频系数不匹配的现象，从而使得到的高分辨率图像灰度偏移。本文对该方法进行了改进，并引入局部适应插值得到更为理想的重建算法。即小波与局部适应插值结合算法。(Using Wavelet bilinear super-resolution reconstruction algorithm is the reconstructed image will appear low, high-frequency coefficients does not match the phenomenon, thereby enabling high-resolution image to be offset. In this paper, the method is improved, and the introduction of local interpolation to be better adapted to the reconstruction algorithm. That is, wavelet interpolation combined with the local adaptation algorithm.)