3d-reconstruction-usingmatlab

C++开发的计算机图形学关于直线绘制的算法，主要涉及DDA算法、中点画线算法、Bresenham画线算法(C++ developed computer graphics on line drawing algorithm, mainly involves DDA algorithm, midpoint line algorithm, Bresenham line drawing algorithm.)

未来线路预测,分析误差,粒子图像分割及匹配均为自行编制的子例程，能量谱分析计算。( Future line prediction, error analysis, Particle image segmentation and matching subroutines themselves are prepared, Energy spectrum analysis and calculation.)

将原图与一幅模板图像进行计算相关 以图像显示相关函数(The original image and a template image to calculate correlation functions related to image display)

模式识别matlab工具箱，包含大约130个左右的模式识别类的程序。(Classification MatLab Toolbox)

SSD: Single Shot MultiBox Object Detector, in PyTorch A PyTorch implementation of Single Shot MultiBox Detector from the 2016 paper by Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang, and Alexander C. Berg. The official and original Caffe code can be found here. Table of Contents Installation Datasets Train Evaluate Performance Demos Future Work Reference

此代码应用于图像分割，是基于类间方差的大津法求分割阈值(This code applies to image segmentation is based on the variance between two classes of Otsu threshold segmentation uated)

应用于Adams软件的二次开发,分别为子程序文件以及目标文件(The second development of Adams software)

运用基于密度的聚类算法实现了超像素的分割(The segmentation of super pixels is realized by using the clustering algorithm based on density)

实现了图像的加水印，去噪，加噪声等功能，部分实现了追踪测速迭代松弛算法，独立成分分析算法降低原始数据噪声。( Realize image watermarking, de-noising, plus noise and other functions, Partially achieved tracking speed iterative relaxation algorithm, Independent component analysis algorithm reduces the raw data noise.)

对计算图像的LBP矩阵并具备旋转不变性，用于目标检测和识别(The LBP matrix of the calculated image has the rotation invariance for target detection and recognition)