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Readme-en.md

@@ -55,21 +55,22 @@ The wheel-rail attitude of high-speed rail reflects the complex dynamic interact
 Due to the fast running speed of high-speed trains, the wheel-rail surface is relatively smooth and there are no obvious feature points, which brings great challenges to the 3D reconstruction based on feature point extraction.
 
 <p align="center">
-    <img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/00.gif" alt="01" width="45%" height="45%"   hspace="10" /> <img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/01.gif" alt="02" width="45%" height="45%"  />
+    <img src="./img/cn/01.gif" alt="01" width="45%" height="45%"   hspace="10" /> <img src="./img/cn/02.gif" alt="02" width="45%" height="45%"  />
     <br>
 </p>
 
 3D reconstruction technology is an important branch of computer vision technology and a popular research direction combining computer vision and computer image graphics. According to whether it is in contact with the measured object during measurement, it can be divided into contact measurement and non-contact measurement.
 
-<div class="imgs" align="center" ><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/18.png" alt="16" width="50%" height="50%"/></div>
+<div class="imgs" align="center" ><img src="./img/en/03.png" alt="16" width="50%" height="50%"/></div>
+
 Although the contact measurement method has high measurement accuracy, the measurement efficiency is low, the speed is slow, and improper operation can easily damage the surface of the object to be measured, and because the probe has a certain surface area, it is difficult to measure objects with complex surfaces and does not have universality and versatility. Non-contact three-dimensional measurement methods can be divided into two categories: active measurement and passive measurement. The former is to project a designed pattern onto the surface of the target object. The pattern is distorted due to the height fluctuation of the object, and the target object is obtained by matching the distorted pattern. The latter is to illuminate the target object with ambient light and then detect the characteristic points of the target object to obtain its data. The non-contact measurement method has become the research trend of three-dimensional profile measurement due to its advantages of no damage, high measurement speed, and simplicity.
 The coded structured light method used in the project uses a certain pattern of coded structured light patterns projected by the projector to encode the target object, uses the camera to obtain the object image, and uses the computer to decode the resulting image, using the image points in the camera and the projector The point correspondence in Calculates the space coordinates of the surface points of the object, obtains the three-dimensional information of the object, and restores the three-dimensional shape of the object. The structured light system is shown in the following figure.
 
-<div class="imgs" align="center" ><img src="http://static.zybuluo.com/TangWill/oumn2p1o6o4xlyk6o1apnbam/16.png" alt="17" width="80%" height="80%"/></div>
+<div class="imgs" align="center" ><img src="./img/en/04.png" alt="17" width="80%" height="80%"/></div>
 
 The 3D reconstruction technology of coded structured light method is mainly composed of five key technologies: system calibration, structured light coding, image acquisition, structured light decoding and three-dimensional coordinate calculation.
 
-<div class="imgs" align="center" ><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/19.png" alt="19" width="80%" height="80%"/></div>
+<div class="imgs" align="center" ><img src="./img/en/05.png" alt="19" width="80%" height="80%"/></div>
 
 - System Calibration: The system consists of a camera, a projector and a computer. The goal of calibration is to calculate the internal parameter matrix and the lens distortion coefficient of the camera and the projector and the external parameter matrix of the relative position between the two.
 - Structured Light Coding: The "identity" of each point of the pattern can be identified through coding.
@@ -83,7 +84,7 @@ In summary, given the difficulty in the project that the surface of the wheel an
 
 ## [📷](https://emojipedia.org/camera/) Algorithm
 
-<table><tr><td width="500px"><div class="img" align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/20.png" alt="12" height="100%" width="100%"></div></td><td>The main innovations of the project are as follows:
+<table><tr><td width="500px"><div class="img" align="center"><img src="./img/cn/06.png" alt="12" height="100%" width="100%"></div></td><td>The main innovations of the project are as follows:
     <ul><li><b>Stripe center extraction with sub-pixel precision</b>: Designed and implemented the coded structured light pattern and the stripe center point extraction algorithm suitable for the pattern, and the stripe center point is accurate to the sub-pixel level</li>
         <li><b>Increase point cloud density through wavelet transform</b>: An improved method of windowed Fourier transform for fringe phase analysis is proposed. The wavelet transform based on generalized Morse wavelet is used for analysis to obtain the phase information of non-central points. Increase point cloud density</li>
         <li><b>Construction of a full-process 3D reconstruction platform</b>: The above algorithm and point cloud visualization are packaged into structured light 3D reconstruction software, which completes the 3D reconstruction of rails and multiple geometric bodies, which is expected to be used for wheel-rail posture reconstruction and visualization</li></ul></td></tr></table>
@@ -96,14 +97,16 @@ In summary, given the difficulty in the project that the surface of the wheel an
 </ul>
     <p>There are 64 stripes in the coding pattern, and the stripe width is 14 𝑝𝑖𝑥𝑒𝑙, with the center point of the stripe as the feature point of the projection pattern</p>
 ♣ The 𝐷𝑒 𝐵𝑟𝑢𝑖𝑗𝑛 sequence is composed of 𝑛 different elements, and any consecutive subsequence whose length is 𝑚 only appears once
-    </td><td><div align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/21.png" alt="21" width="100%" height="100%"/></div></td></tr><tr><td> DeBruijn Analysis</td><td>在对灰度图像进行预处理后，为获得条纹中心点的位置，采用局部最大值算法从类似“高斯”形状的条纹灰度图像中提取图像每一行的局部最大值（以亚像素精度检测），局部最大值点即为条纹的中心点。在 𝐿𝑎𝑏 颜色空间下，对条纹中心点的颜色进行分类，在 4×1 的窗口中，即可获得条纹中心点在投影图案的对应位置。After preprocessing the gray image, in order to extract the center point of the stripes, a local maximum algorithm is applied to searching local maxima (detected with sub-pixel precision) of each row of the image from the strips which is present a gaussian-like shape, The local maximum point is the center point of the fringe. In the 𝐿𝑎𝑏 color space, classify the colors of the center point of the stripe. In a 4×1 window, you can get the corresponding position of the center point of the stripe in the projection pattern.</td><td><div align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/22.png" alt="22" width="100%" height="100%"/></div></td></tr><tr><td>Wavelet Transform Analysis</td><td>The change of the V channel satisfies the given cosine function and contains the phase information of the non-center point of the fringe. But after the pattern is modulated by the object, the originally stable signal changes. As a non-stationary signal processing method, the wavelet transform method has been introduced into many signal processing fields, including phase extraction from fringe patterns. Comprehensive comparison of one-dimensional and two-dimensional window Fourier transform, wavelet transform and other methods, for the consideration of reconstruction accuracy and speed, the one-dimensional wavelet transform method is selected. The generalized Morse wavelet has flexible time-frequency local characteristics and strict analysis, and the effect of measuring the 3D contour of the object is better than the popular complex Morlet wavelet as the mother wavelet.</td><td><div align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/23.png" alt="23" width="100%" height="100%"/></div></td></tr></table> 
+    </td><td><div align="center"><img src="./img/cn/07.png" alt="21" width="100%" height="100%"/></div></td></tr><tr><td> DeBruijn Analysis</td><td>在对灰度图像进行预处理后，为获得条纹中心点的位置，采用局部最大值算法从类似“高斯”形状的条纹灰度图像中提取图像每一行的局部最大值（以亚像素精度检测），局部最大值点即为条纹的中心点。在 𝐿𝑎𝑏 颜色空间下，对条纹中心点的颜色进行分类，在 4×1 的窗口中，即可获得条纹中心点在投影图案的对应位置。After preprocessing the gray image, in order to extract the center point of the stripes, a local maximum algorithm is applied to searching local maxima (detected with sub-pixel precision) of each row of the image from the strips which is present a gaussian-like shape, The local maximum point is the center point of the fringe. In the 𝐿𝑎𝑏 color space, classify the colors of the center point of the stripe. In a 4×1 window, you can get the corresponding position of the center point of the stripe in the projection pattern.</td><td><div align="center"><img src="./img/cn/08.png" alt="22" width="100%" height="100%"/></div></td></tr><tr><td>Wavelet Transform Analysis</td><td>The change of the V channel satisfies the given cosine function and contains the phase information of the non-center point of the fringe. But after the pattern is modulated by the object, the originally stable signal changes. As a non-stationary signal processing method, the wavelet transform method has been introduced into many signal processing fields, including phase extraction from fringe patterns. Comprehensive comparison of one-dimensional and two-dimensional window Fourier transform, wavelet transform and other methods, for the consideration of reconstruction accuracy and speed, the one-dimensional wavelet transform method is selected. The generalized Morse wavelet has flexible time-frequency local characteristics and strict analysis, and the effect of measuring the 3D contour of the object is better than the popular complex Morlet wavelet as the mother wavelet.</td><td><div align="center"><img src="./img/cn/09.png" alt="23" width="100%" height="100%"/></div></td></tr></table> 
+
 
 
 
 ## [📽️](https://emojipedia.org/film-projector/) Performance
 
-<table> <tr align="center"> <td><div align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/24.gif" alt="24" width="100%" height="100%"/></div></td><td>
-   <div align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/25.gif" alt="25" width="100%" height="100%"/></div> </td><td> <div align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/26.gif" alt="26" width="100%" height="100%"/></div> </td></tr><tr align="center"><td>Sphere with a radius of 95mm<br>Point cloud data 17W+<br>Radius error 0.678mm<br>Calculation time 10-15s</td><td>Multi-object 3D reconstruction</td><td>3D reconstruction of rail surface</td></tr></table> 
+<table> <tr align="center"> <td><div align="center"><img src="./img/cn/10.gif" alt="24" width="100%" height="100%"/></div></td><td>
+   <div align="center"><img src="./img/cn/11.gif" alt="25" width="100%" height="100%"/></div> </td><td> <div align="center"><img src="./img/cn/12.gif" alt="26" width="100%" height="100%"/></div> </td></tr><tr align="center"><td>Sphere with a radius of 95mm<br>Point cloud data 17W+<br>Radius error 0.678mm<br>Calculation time 10-15s</td><td>Multi-object 3D reconstruction</td><td>3D reconstruction of rail surface</td></tr></table> 
+
 
 
 
@@ -112,13 +115,13 @@ In summary, given the difficulty in the project that the surface of the wheel an
 <a style="color:black" href="./Exe/Reconstructionn.exe">The software</a> integrates the entire process of 3D reconstruction, and implements the three functions of system calibration, 3D reconstruction and point cloud rendering. The software uses C++ as the development language and the interface development is based on the QT framework, which relies on OpenCV and PCL (Point Cloud Library) for image and point cloud data processing. It adopts some design patterns such as singleton pattern and chain of responsibility pattern, etc.  <a href="https://youtu.be/DM47pxDPks8"><img src="https://img.shields.io/badge/Demo- -%23FF0000?colorA=%23FF0000&colorB=%23FF0000&style=for-the-badge&logo=YouTube"/></a>
 
 - UI of System Calibration 
-<div class="imgs" align="center" ><img src="http://static.zybuluo.com/TangWill/ml0iegb11jyr7t5iw1kp30ei/%E8%AE%A1%E7%AE%97%E6%9C%BA%E4%B8%8E%E4%BF%A1%E6%81%AF%E6%8A%80%E6%9C%AF%E5%AD%A6%E9%99%A2-%E5%9F%BA%E4%BA%8E%E7%BC%96%E7%A0%81%E7%BB%93%E6%9E%84%E5%85%89%E7%9A%84%E9%AB%98%E9%93%81%E8%BD%AE%E8%BD%A8%E5%A7%BF%E6%80%81%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA-%E7%BB%93%E6%9E%84%E5%85%89%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA%E8%BD%AF%E4%BB%B6%E2%80%94%E2%80%94%E7%B3%BB%E7%BB%9F%E6%A0%87%E5%AE%9A%E7%95%8C%E9%9D%A2.jpg" alt="16"  width="75%" height="75%" /></div>
+<div class="imgs" align="center" ><img src="./img/cn/13.jpg" alt="16"  width="75%" height="75%" /></div>
 
 - UI of 3D reconstruction
-<div class="imgs" align="center" ><img src="http://static.zybuluo.com/TangWill/dv9moa86dspfb2njt79o8cuj/%E8%AE%A1%E7%AE%97%E6%9C%BA%E4%B8%8E%E4%BF%A1%E6%81%AF%E6%8A%80%E6%9C%AF%E5%AD%A6%E9%99%A2-%E5%9F%BA%E4%BA%8E%E7%BC%96%E7%A0%81%E7%BB%93%E6%9E%84%E5%85%89%E7%9A%84%E9%AB%98%E9%93%81%E8%BD%AE%E8%BD%A8%E5%A7%BF%E6%80%81%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA-%E7%BB%93%E6%9E%84%E5%85%89%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA%E8%BD%AF%E4%BB%B6%E2%80%94%E2%80%94%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA%E7%95%8C%E9%9D%A2.jpg" alt="17"  width="75%" height="75%" /></div>
+<div class="imgs" align="center" ><img src="./img/cn/14.jpg" alt="17"  width="75%" height="75%" /></div>
 
 - UI of point cloud rendering
-<div class="imgs" align="center" ><img src="http://static.zybuluo.com/TangWill/ufqbnx21rnzkvfhmsyi2rosr/%E8%AE%A1%E7%AE%97%E6%9C%BA%E4%B8%8E%E4%BF%A1%E6%81%AF%E6%8A%80%E6%9C%AF%E5%AD%A6%E9%99%A2-%E5%9F%BA%E4%BA%8E%E7%BC%96%E7%A0%81%E7%BB%93%E6%9E%84%E5%85%89%E7%9A%84%E9%AB%98%E9%93%81%E8%BD%AE%E8%BD%A8%E5%A7%BF%E6%80%81%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA-%E7%BB%93%E6%9E%84%E5%85%89%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA%E8%BD%AF%E4%BB%B6%E2%80%94%E2%80%94%E7%82%B9%E4%BA%91%E6%B8%B2%E6%9F%93%E7%95%8C%E9%9D%A2.jpg" alt="18"  width="75%" height="75%" /></div>
+<div class="imgs" align="center" ><img src="./img/cn/15.jpg" alt="18"  width="75%" height="75%" /></div>
 
 ## [🔧](https://emojipedia.org/wrench/) Configuration
 

Readme.md

@@ -54,24 +54,24 @@
 由于高铁列车运行速度快，轮轨表面相对光滑且无明显特征点，给基于特征点提取的三维重建带来了极大挑战。
 
 <p align="center">
-    <img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/00.gif" alt="01" width="45%" height="45%"   hspace="10" /> <img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/01.gif" alt="02" width="45%" height="45%"  />
+    <img src="./img/cn/01.gif" alt="01" width="45%" height="45%"   hspace="10" /> <img src="./img/cn/02.gif" alt="02" width="45%" height="45%"  />
     <br>
 </p>
 
 
 三维重建技术是计算机视觉技术的一个重要分支，是计算机视觉和计算机图像图形学相结合的一个热门研究方向。根据测量时是否与被测物体接触，可分为接触式测量和非接触式测量。
 
-<div class="imgs" align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/17.png" alt="17" width="50%" height="50%"/></div>
+<div class="imgs" align="center"><img src="./img/cn/03.png" alt="17" width="50%" height="50%"/></div>
 
 接触式测量方法虽然测量精度高，但测量效率低，速度慢，操作不当很容易损坏被测物体表面，而且由于探头有一定表面积，对表面复杂的物体难以测量，不具备普遍性和通用性。非接触式三维测量方式又可以分为两大类：主动式测量和被动式测量。前者是向目标物体表面投射设计好的图案，该图案由于物体的高度起伏引起一定的畸变，通过匹配畸变的图案获得目标物体的。后者是通过周围环境光对目标物体进行照射，然后检测目标物体的特征点以得到其数据。非接触式测量方式以其无损坏、测量速度高、简单等优点已成为三维轮廓测量的研究趋势。
 
 项目采用的编码结构光法利用投影仪投射出的一定模式的编码结构光图案对目标物体进行编码，利用摄像机获取物体图像，通过计算机对所得图像进行解码处理，利用摄像机中的图像点和投影仪中的点对应关系计算物体表面点的空间坐标，获得物体的三维信息，从而还原物体三维形状，结构光系统如下图所示。
 
-<div class="imgs" align="center" ><img src="http://static.zybuluo.com/TangWill/3jpt7b5voqdn28xy61mr7etf/16.png" alt="17" width="80%" height="80%"/></div>
+<div class="imgs" align="center" ><img src="./img/cn/04.png" alt="17" width="80%" height="80%"/></div>
 
 编码结构光法三维重建技术主要由系统标定、结构光编码、图像获取、结构光解码和三维坐标计算等5个关键技术组成。
 
-<div class="imgs" align="center" ><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/19.png" alt="19" width="80%" height="80%"/></div>
+<div class="imgs" align="center" ><img src="./img/cn/05.png" alt="19" width="80%" height="80%"/></div>
 
 - 系统标定：系统由摄像机、投影仪和计算机组成，标定的目标是计算摄像机和投影仪内参矩阵、镜头畸变系数和两者之间相对位置的外参矩阵；
 - 结构光编码：通过编码的方式使图像每一点的“身份”可以被识别；
@@ -85,7 +85,7 @@
 
 ## [📷](https://emojipedia.org/camera/) 技术路线
 
-<table><tr><td width="500px"><div class="img" align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/20.png" alt="12" height="100%" width="100%"></div></td><td>项目主要创新点如下：
+<table><tr><td width="500px"><div class="img" align="center"><img src="./img/cn/06.png" alt="12" height="100%" width="100%"></div></td><td>项目主要创新点如下：
     <ul><li><b>亚像素级条纹中心的提取</b>：设计实现了编码结构光图案以及适用于该图案的条纹中心点提取算法，将条纹中心点精确到亚像素级别</li>
         <li><b>通过小波变换增加点云稠密度</b>：提出了加窗傅里叶变化对条纹相位分析的改进方法，采用用基于广义 Morse 小波的小波变换进行分析，获得非中心点的相位信息，增加点云稠密度</li>
         <li><b>构建三维重建全流程平台</b>：将上述算法与点云可视化封装成结构光三维重建软件，完成了铁轨及多个几何体的三维重建，预期可用于轮轨姿态重建和可视化</li></ul></td></tr></table>
@@ -98,14 +98,16 @@
 </ul>
     <p>编码图案共64条条纹，条纹宽度14 𝑝𝑖𝑥𝑒𝑙，以条纹中心点作为投影图案的特征点</p>
 ♣ 𝐷𝑒 𝐵𝑟𝑢𝑖𝑗𝑛 序列由 𝑛 种不同元素构成，任意长度为 𝑚 的连续子序列只出现一次
-    </td><td><div align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/21.png" alt="21" width="100%" height="100%"/></div></td></tr><tr><td>德布鲁因分析</td><td>在对灰度图像进行预处理后，为获得条纹中心点的位置，采用局部最大值算法从类似“高斯”形状的条纹灰度图像中提取图像每一行的局部最大值（以亚像素精度检测），局部最大值点即为条纹的中心点。在 𝐿𝑎𝑏 颜色空间下，对条纹中心点的颜色进行分类，在 4×1 的窗口中，即可获得条纹中心点在投影图案的对应位置。
-</td><td><div align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/22.png" alt="22" width="100%" height="100%"/></div></td></tr><tr><td>小波变换分析</td><td>V 通道的变化满足给定的余弦函数，包含了条纹非中心点的相位信息。但图案经过物体的调制，原本平稳的信号发生了改变。小波变换方法作为一个非平稳信号处理方法，被引入到许多信号处理领域，包括从条纹图中提取相位。综合对比了一维和二维的窗口傅里叶变换、小波变换等方法，出于对重建精度和速度的考虑，选择一维小波变换的方法。广义 Morse  小波具有灵活的时频局部特性及严格解析性，且测量物体 3D 轮廓效果优于目前流行的用复 Morlet 小波作为母小波。</td><td><div align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/23.png" alt="23" width="100%" height="100%"/></div></td></tr></table> 
+    </td><td><div align="center"><img src="./img/cn/07.png" alt="21" width="100%" height="100%"/></div></td></tr><tr><td>德布鲁因分析</td><td>在对灰度图像进行预处理后，为获得条纹中心点的位置，采用局部最大值算法从类似“高斯”形状的条纹灰度图像中提取图像每一行的局部最大值（以亚像素精度检测），局部最大值点即为条纹的中心点。在 𝐿𝑎𝑏 颜色空间下，对条纹中心点的颜色进行分类，在 4×1 的窗口中，即可获得条纹中心点在投影图案的对应位置。
+</td><td><div align="center"><img src="./img/cn/08.png" alt="22" width="100%" height="100%"/></div></td></tr><tr><td>小波变换分析</td><td>V 通道的变化满足给定的余弦函数，包含了条纹非中心点的相位信息。但图案经过物体的调制，原本平稳的信号发生了改变。小波变换方法作为一个非平稳信号处理方法，被引入到许多信号处理领域，包括从条纹图中提取相位。综合对比了一维和二维的窗口傅里叶变换、小波变换等方法，出于对重建精度和速度的考虑，选择一维小波变换的方法。广义 Morse  小波具有灵活的时频局部特性及严格解析性，且测量物体 3D 轮廓效果优于目前流行的用复 Morlet 小波作为母小波。</td><td><div align="center"><img src="./img/cn/09.png" alt="23" width="100%" height="100%"/></div></td></tr></table> 
+
 
 
 ## [📽️](https://emojipedia.org/film-projector/) 评价指标
 
-<table> <tr align="center"> <td><div align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/24.gif" alt="24" width="100%" height="100%"/></div></td><td>
-   <div align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/25.gif" alt="25" width="100%" height="100%"/></div> </td><td> <div align="center"><img src="https://5618.oss-cn-beijing.aliyuncs.com/wordpress/image/00/26.gif" alt="26" width="100%" height="100%"/></div> </td></tr><tr align="center"><td>半径95mm的球体<br>表面点云17W+<br>半径误差0.678mm<br>运算时间10-15s</td><td>多物体三维重建</td><td>铁轨表面三维重建</td></tr></table> 
+<table> <tr align="center"> <td><div align="center"><img src="./img/cn/10.gif" alt="24" width="100%" height="100%"/></div></td><td>
+   <div align="center"><img src="./img/cn/11.gif" alt="25" width="100%" height="100%"/></div> </td><td> <div align="center"><img src="./img/cn/12.gif" alt="26" width="100%" height="100%"/></div> </td></tr><tr align="center"><td>半径95mm的球体<br>表面点云17W+<br>半径误差0.678mm<br>运算时间10-15s</td><td>多物体三维重建</td><td>铁轨表面三维重建</td></tr></table> 
+
 
 
 ## [💻](https://emojipedia.org/laptop/) 软件展示
@@ -113,13 +115,13 @@
 <a style="color:black" href="./Exe/Reconstructionn.exe">软件</a>集三维重建整个流程为一体，主要实现系统（相机与投影仪）标定、三维重建和点云渲染三个功能。软件以 C++ 作为开发语言并基于  QT  框架进行界面开发，依赖于 OpenCV 和 PCL (Point Cloud Library) 进行图像和点云数据处理。在开发上采用了单例模式、责任链模式等设计模式。 <a href="https://youtu.be/DM47pxDPks8"><img src="https://img.shields.io/badge/Demo- -%23FF0000?colorA=%23FF0000&colorB=%23FF0000&style=for-the-badge&logo=YouTube"/></a>
 
 - 系统标定界面
-<div class="imgs" align="center" ><img src="http://static.zybuluo.com/TangWill/ml0iegb11jyr7t5iw1kp30ei/%E8%AE%A1%E7%AE%97%E6%9C%BA%E4%B8%8E%E4%BF%A1%E6%81%AF%E6%8A%80%E6%9C%AF%E5%AD%A6%E9%99%A2-%E5%9F%BA%E4%BA%8E%E7%BC%96%E7%A0%81%E7%BB%93%E6%9E%84%E5%85%89%E7%9A%84%E9%AB%98%E9%93%81%E8%BD%AE%E8%BD%A8%E5%A7%BF%E6%80%81%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA-%E7%BB%93%E6%9E%84%E5%85%89%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA%E8%BD%AF%E4%BB%B6%E2%80%94%E2%80%94%E7%B3%BB%E7%BB%9F%E6%A0%87%E5%AE%9A%E7%95%8C%E9%9D%A2.jpg" alt="16"  width="75%" height="75%" /></div>
+<div class="imgs" align="center" ><img src="./img/cn/13.jpg" alt="16"  width="75%" height="75%" /></div>
 
 - 三维重建界面
-<div class="imgs" align="center" ><img src="http://static.zybuluo.com/TangWill/dv9moa86dspfb2njt79o8cuj/%E8%AE%A1%E7%AE%97%E6%9C%BA%E4%B8%8E%E4%BF%A1%E6%81%AF%E6%8A%80%E6%9C%AF%E5%AD%A6%E9%99%A2-%E5%9F%BA%E4%BA%8E%E7%BC%96%E7%A0%81%E7%BB%93%E6%9E%84%E5%85%89%E7%9A%84%E9%AB%98%E9%93%81%E8%BD%AE%E8%BD%A8%E5%A7%BF%E6%80%81%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA-%E7%BB%93%E6%9E%84%E5%85%89%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA%E8%BD%AF%E4%BB%B6%E2%80%94%E2%80%94%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA%E7%95%8C%E9%9D%A2.jpg" alt="17"  width="75%" height="75%" /></div>
+<div class="imgs" align="center" ><img src="./img/cn/14.jpg" alt="17"  width="75%" height="75%" /></div>
 
 - 点云渲染界面
-<div class="imgs" align="center" ><img src="http://static.zybuluo.com/TangWill/ufqbnx21rnzkvfhmsyi2rosr/%E8%AE%A1%E7%AE%97%E6%9C%BA%E4%B8%8E%E4%BF%A1%E6%81%AF%E6%8A%80%E6%9C%AF%E5%AD%A6%E9%99%A2-%E5%9F%BA%E4%BA%8E%E7%BC%96%E7%A0%81%E7%BB%93%E6%9E%84%E5%85%89%E7%9A%84%E9%AB%98%E9%93%81%E8%BD%AE%E8%BD%A8%E5%A7%BF%E6%80%81%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA-%E7%BB%93%E6%9E%84%E5%85%89%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA%E8%BD%AF%E4%BB%B6%E2%80%94%E2%80%94%E7%82%B9%E4%BA%91%E6%B8%B2%E6%9F%93%E7%95%8C%E9%9D%A2.jpg" alt="18"  width="75%" height="75%" /></div>
+<div class="imgs" align="center" ><img src="./img/cn/15.jpg" alt="18"  width="75%" height="75%" /></div>
 
 ## [🔧](https://emojipedia.org/wrench/) 开发配置