image_matchMatlab

基于势场法的移动机器人避碰系统设计的matlab仿真(Matlab simulation of mobile robot collision avoidance system design based on potential field method)

在P4P问题中,当空间4个点共面时,不仅摄像机坐标系与物体坐标系之间 的旋转矩阵R和平移向量t可以线性求解,而且可以同时确定摄像机的有效焦距f和像素比例，该程序设计模拟已知相机矩阵M情况下由已知三维空间点和图像坐标情况求解相机外参数矩阵(When space four points coplanar P4P problem, not only between the camera coordinate system and the object coordinate system rotation matrix R and translation vector t Can be solved linearly, and can determine the camera s effective focal length f and pixel ratio, the program is designed to simulate a known camera matrix M Camera outside the parameters matrix case solved by the known three-dimensional space points and image coordinates)

contourlet 小波，直方图的三种图像增强程序(failed to translate)

Delaunay三角网的逐点插入法. 原始作者 @author Paul Chew * * Created July 2005. Derived from an earlier, messier version.(Delaunay triangulation point by point insertion method. Original author @ author Paul Chew** Created July 2005. Derived from an earlier, messier version.)

ICP算法,主要用于三维点云数据的配准，最近点迭代算法，可以收敛到局部最小(registration of point cloud data,the iterated close point algorithm)

说明：  3DMM模型是三维人脸重建的基础模型，用于三维人脸重建任务。(3dmm model is the basic model of 3D face reconstruction, which is used for 3D face reconstruction task.)

计算机图形学作业,HERMITE曲线的绘制 很好的 不错(Computer graphics operations, HERMITE curve drawing good good)

说明：  该程序模拟了海浪的三维动态仿真，展示了随机海风作用下，波浪的运动。(The program simulates the three-dimensional dynamic simulation of ocean waves)

本文基于对工业机器人运动学系统的分析与探讨，从运动学方程的建立、运动学方程的求解、运动空间的插值算法、机器人轨迹规划等几个方面推求新的算法，并利用这些算法实现对于工业机器人运动学系统的三维图形仿真。 (Analysis and Discussion of the industrial robot kinematics system from several aspects of the establishment of the kinematic equations, the kinematic equations, the motion space of the interpolation algorithm, the robot trajectory planning Deriving a new algorithm, and use of these algorithms to achieve three-dimensional graphic simulation system for industrial robot kinematics.)

最大类间方差法是由日本学者大津(Nobuyuki Otsu)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2部分。背景和目标之间的类间方差越大,说明构成图像的2部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2部分差别变小。(The largest between-class variance method was proposed by the Japanese scholar Nobuyuki Otsu in 1979. It is an adaptive threshold determination method, also known as the Otsu method, or OTSU for short. It is based on the grayscale characteristics of the image and divides the image into two parts: the background and the target. The larger the variance between the background and the target, the greater the difference between the two parts that make up the image. When the part of the target is wrongly divided into backgrounds or part of the background is mis-divided into goals, the difference between the two parts will be smaller.)