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CloudViewer-master

于 2017-05-09 发布 文件大小:3234KB
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  CloudViewer （点云可视化软件）是一款面向三维点云数据处理、点云开发专业人员及爱好者的三维点云可视化软件，该软件具备以下功能： 点云 IO。常见点云格式文件（如 ply, pcd 和 obj）的读取、保存、删除清空及可视化。 点云的基本操作。设置点云颜色，合并多个点云，点云格式转换等。 可视化的基本操作。设置视图窗口背景颜色，设置点云的可视化尺寸，设置坐标系的显示，设置视图方位（Main view, Left view, Top view），网格面片显示，网格线框显示等。 模型生成。生成简单立方排布的点云以及基本三维模型，该功能主要用于测试。(CloudViewer uFF08 u70B9 u4E9 u53E u53E3 u5316 u8F6 u4EF0 u0EF6 uFF09 u662F u4E00 u6B3E u972 U4E91 u53E1 u53E1 u3EF3 u7EF3 u7EF3 u3EF0 U5177 u5907 u4E0 u4E0B u529F u80FD uFF1A u70B9 u4E91 i u3002 u5E3 u8C1 u70B9 u4E91 u683C u5F0F u6587 u4EF6 uFF08 u5982 ply, pcd u548C obj uFF09 u7684 U8BFB u53D6 u3001 u4FDD u5B58 u3001 u5220 u9664 u6E05 u7A7A u53CA u53EF u89C6 u5316 u3002 u70B9 u4E9 u7E9 u7684 u57FA u672C u64CD u4F5C u3002 u8BBE u7F6E U70B9 u989 u989.0 u8279 u03109 u03H2 U672C u64CD u4F5C u3002 u8BBE u7F6E u89C6 u56FE u7A97 u53E3 u803 u803 UFF0C u8BBE u7F6E u5750 u6807 u7CFB u7684 u663E u793A uFF0C u8BBE u7F6E u89C6 u56FE u 65B9 u4F4D uFF08Main view, Left view, Top view uFF09 uFF0C u7F51 u683C u973 u7327 u733A u739A u7R3 U751F u6210 u3002 u751F u6210 u7B80 u5355 u7ACB u659B u6392 u5E03 u7E09 U80B0 u4E3B u8981 u7528 u4E8E u6D4B u8BD5 u3002)

文件列表：

CloudViewer-master
..................\.gitignore,249,2017-04-17
..................\AboutWin.cpp,129,2017-04-17
..................\AboutWin.h,272,2017-04-17
..................\AboutWin.ui,2981,2017-04-17
..................\cloudviewer.cpp,48497,2017-04-17
..................\cloudviewer.h,3996,2017-04-17
..................\cloudviewer.qrc,1323,2017-04-17
..................\cloudviewer.ui,33612,2017-04-17
..................\CloudViewer.vcxproj,26837,2017-04-17
..................\CloudViewer.vcxproj.filters,4146,2017-04-17
..................\CloudViewer.vcxproj.user,6412,2017-04-17
..................\GBK.h,682,2017-04-17
..................\GeneratedFiles
..................\..............\Debug
..................\..............\.....\moc_AboutWin.cpp,2577,2017-04-17
..................\..............\.....\moc_cloudviewer.cpp,6641,2017-04-17
..................\..............\qrc_cloudviewer.cpp,1079858,2017-04-17
..................\..............\Release
..................\..............\.......\moc_AboutWin.cpp,2577,2017-04-17
..................\..............\.......\moc_cloudviewer.cpp,7066,2017-04-17
..................\..............\ui_AboutWin.h,3278,2017-04-17
..................\..............\ui_cloudviewer.h,40743,2017-04-17
..................\htm" target=_blank>LICENSE,11357,2017-04-17
..................\main.cpp,171,2017-04-17
..................\MyCloud.cpp,72,2017-04-17
..................\MyCloud.h,453,2017-04-17
..................\README.md,12855,2017-04-17
..................\Resources
..................\.........\images





..................\.........\......\clear.png,6562,2017-04-17
..................\.........\......\cube.png,6989,2017-04-17
..................\.........\......\cylinder.png,5307,2017-04-17
..................\.........\......\exit.png,9188,2017-04-17
..................\.........\......\frame.png,930,2017-04-17
..................\.........\......\fushi.png,22337,2017-04-17
..................\.........\......\help.png,13922,2017-04-17
..................\.........\......\icon.ico,21662,2017-04-17
..................\.........\......\icon.png,3761,2017-04-17
..................\.........\......\language.png,7578,2017-04-17
..................\.........\......\mesh.png,11121,2017-04-17
..................\.........\......\open.png,3657,2017-04-17
..................\.........\......\pointcolor.png,5599,2017-04-17
..................\.........\......\save.png,5122,2017-04-17
..................\.........\......\saveBinary.png,19876,2017-04-17
..................\.........\......\shape.png,4606,2017-04-17
..................\.........\......\sphere.png,6277,2017-04-17
..................\.........\......\theme.png,2095,2017-04-17
..................\.........\......\zhengshi.png,22113,2017-04-17
..................\.........\......\zuoshi.png,22106,2017-04-17
..................\.........\qss
..................\.........\...\Darcula.qss,1642,2017-04-17
..................\.........\...\Windows.qss,1449,2017-04-17
..................\Tools.cpp,579,2017-04-17
..................\Tools.h,3397,2017-04-17
..................\x64
..................\...\Debug
..................\...\.....\CloudViewer.Build.CppClean.log,2763,2017-04-17
..................\...\.....\CloudViewer.log,14119,2017-04-17
..................\...\.....\CloudViewer.tlog
..................\...\.....\................\CL.read.1.tlog,1073960,2017-04-17
..................\...\.....\................\CL.write.1.tlog,4000,2017-04-17
..................\...\.....\................\CloudViewer.lastbuildstate,165,2017-04-17
..................\...\.....\................\custombuild.read.1.tlog,982,2017-04-17
..................\...\.....\................\custombuild.write.1.tlog,1478,2017-04-17
..................\...\.....\................\link.840-cvtres.read.1.tlog,2,2017-04-17
..................\...\.....\................\link.840-cvtres.write.1.tlog,2,2017-04-17
..................\...\.....\................\link.840-rc.read.1.tlog,2,2017-04-17
..................\...\.....\................\link.840-rc.write.1.tlog,2,2017-04-17
..................\...\.....\................\link.840.read.1.tlog,2,2017-04-17
..................\...\.....\................\link.840.write.1.tlog,2,2017-04-17
..................\...\.....\................\link.read.1.tlog,2,2017-04-17
..................\...\.....\................\link.write.1.tlog,2,2017-04-17
..................\...\.....\................\unsuccessfulbuild,0,2017-04-17
..................\...\.....\vc120.pdb,16297984,2017-04-17
..................\...\Release
..................\...\.......\CloudViewer.Build.CppClean.log,1947,2017-04-17
..................\...\.......\CloudViewer.log,9138,2017-04-17
..................\...\.......\CloudViewer.tlog
..................\...\.......\................\CL.read.1.tlog,1420804,2017-04-17
..................\...\.......\................\CL.write.1.tlog,5904,2017-04-17
..................\...\.......\................\CloudViewer.lastbuildstate,170,2017-04-17
..................\...\.......\................\custombuild.read.1.tlog,1588,2017-04-17
..................\...\.......\................\custombuild.write.1.tlog,1546,2017-04-17
..................\...\.......\................\link.read.1.tlog,26718,2017-04-17
..................\...\.......\................\link.write.1.tlog,1384,2017-04-17

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    说明：  针对现有方法存在的隐藏容量低、操作不灵活的缺陷，文章提出了一种基于无损压缩的加密图像可逆 信息隐藏算法。(In view of the defects of low hiding capacity and inflexible operation of the existing methods, this paper proposes a reversible information hiding algorithm for encrypted images based on lossless compression.)
    2020-11-05 16:09:52下载
    积分：1
  • xindianxinhao
    以心电信号检测为例，通过小波模极大值奇异性检测和求取Lipschitz指数确定心电信号R波的位置(Taking the ECG signal detection as an example, the position of the R wave of the ECG signal was determined by the singularity detection of the wavelet modulus and the Lipschitz index)
    2017-04-19 09:58:25下载
    积分：1
  • ImgToRaw
    说明：  遥感图像.img图像与raw格式图像的之间的转换(remote sensing images. Img images with the raw image format conversion between the)
    2006-01-01 01:35:04下载
    积分：1
  • image_matching123
    图像配准，利用互相关的方法进行图像配准，能达到良好效果(Image registration, the use of the cross-correlation method of image registration, and can achieve good results)
    2013-01-06 10:28:30下载
    积分：1
  • NISwGSP-master
    说明：  NISwGSP stitching . 新一代的图像拼接(image stitching new. more powerful than apap)
    2020-06-26 14:40:01下载
    积分：1
  • detection.py
    Python+OpenCV实现的行人检测(Pedestrian Detection of Python + OpenCV Implementation)
    2018-05-01 03:45:48下载
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  • automsft
    该程序初始时使用背景差分法自动检测目标，当目标完全进入图像中后，改用meanshift方法对目标进行跟踪。(the program use background subtraction to detect the target first,when the target fully enter the screen,change to meanshift method to track the target.)
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    积分：1
  • 6
    [Wang 2011]The Meaning of Interior Tomography
    2013-10-31 23:02:32下载
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  • envi_split_to_multiple_single_band_files
    在ENVI中利用此程序可将多光谱影像拆分为单个波段。(In ENVI, multi-spectral images can be divided into single bands by using this program.)
    2019-04-18 14:57:21下载
    积分：1
  • ExThreshold
    1、读取显示所给PET图像（SE2IM210）。 2、学习imhist函数，画出所给PET图像的直方图。 3、根据直方图为该PET图像选择合适的显示窗（imshow参数），使胸 部轮廓等解剖结构可见。 4、根据直方图选择合适阈值，分割肿瘤区域与正常区域，计算肿瘤区 域内图像灰度均值、方差、最大值及最小值。(1 give PET images displayed, read (SE2 IM210). 2, learning, imhist function, draw the give PET image histogram. 3, according to the histogram for the PET image to choose the appropriate display window (imshow parameters), make bosom Outline of anatomical structures such as visible. 4, according to the histogram, choose appropriate threshold segmentation tumor area and normal area, calculating the tumor area In the domain of image grayscale average and variance, the maximum and minimum values.)
    2015-05-08 20:52:11下载
    积分：1
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