本模型里包含几个三维模型重建的模型,对这方面感兴趣的可借鉴学习(

  • 虫虫123456
    了解作者
  • matlab
    开发工具
  • 9.6MB
    文件大小
  • rar
    文件格式
  • 0
    收藏次数
  • 5 积分
    下载积分
  • 0
    下载次数
  • 2022-06-26 16:38
    上传日期
本模型里包含几个三维模型重建的模型,对这方面感兴趣的可借鉴学习(
point3d.rar
  • point3d
  • 点云的三维重建
  • matlab.mat
    38.2KB
  • p.mat
    296.7KB
  • p.txt
    153.4KB
  • Chair.mat
    1MB
  • Skull.mat
    299.4KB
  • TestMyCrust.m
    872B
  • gargo50k.mat
    284.1KB
  • Dino.mat
    515.1KB
  • Standford_Bunny.mat
    785.3KB
  • 如何運行.txt
    109B
  • MyCrust.asv
    11.9KB
  • Bunny.bmp
    230.7KB
  • TestMyCrust.asv
    871B
  • hippo.mat
    184.5KB
  • Horse.mat
    962.7KB
  • Block.mat
    296.7KB
  • Cactus.mat
    26.7KB
  • data.mat
    109.8KB
  • Elephant.mat
    537.5KB
  • MyCrust.m
    11.9KB
  • Chair.mat
    1MB
  • Skull.mat
    299.4KB
  • TestMyCrust.m
    787B
  • gargo50k.mat
    284.1KB
  • Dino.mat
    515.1KB
  • Standford_Bunny.mat
    785.3KB
  • 如何運行.txt
    103B
  • MyCrust.asv
    11.2KB
  • Bunny.bmp
    230.7KB
  • TestMyCrust.asv
    797B
  • hippo.mat
    184.5KB
  • Horse.mat
    962.7KB
  • Block.mat
    44.6KB
  • Cactus.mat
    26.7KB
  • Elephant.mat
    537.5KB
  • MyCrust.m
    11.8KB
内容介绍
-1.746171 4.825765 2.690588 -1.768612 4.759320 2.725166 -1.768612 4.702436 2.725166 -1.776073 4.645526 2.736662 -1.776073 4.588642 2.736662 -1.783525 4.531733 2.748145 -1.966808 4.388930 3.030555 -1.937867 4.332147 2.985961 -1.886871 4.275430 2.907385 -1.805825 4.218804 2.782504 -1.746171 4.162104 2.690588 -1.655548 3.991715 2.550951 -1.670749 3.934782 2.574372 -1.731164 3.877721 2.667463 -1.761141 3.820750 2.713654 -1.776073 3.763824 2.736662 -1.768612 3.706961 2.725166 -1.776073 3.650056 2.736662 -1.776073 3.593172 2.736662 -1.776073 3.536288 2.736662 -1.776073 3.479404 2.736662 -1.776073 3.422520 2.736662 -1.768612 3.365655 2.725166 -1.776073 3.308752 2.736662 -1.776073 3.251868 2.736662 -1.768612 3.195002 2.725166 -1.768612 3.138118 2.725166 -1.753661 3.081267 2.702128 -1.738672 3.024416 2.679033 -1.701033 2.967613 2.621036 -1.678334 2.910774 2.586061 -1.663153 2.853918 2.562669 -1.670749 2.797014 2.574372 -1.670749 2.740125 2.574372 -1.663153 2.683252 2.562669 -1.670749 2.626349 2.574372 -1.670749 2.569460 2.574372 -1.670749 2.512572 2.574372 -1.678334 2.455670 2.586061 -1.678334 2.398781 2.586061 -1.678334 2.341893 2.586061 -1.685910 2.284992 2.597734 -1.685910 2.228105 2.597734 -1.678334 2.171229 2.586061 -1.685910 2.114329 2.597734 -1.678334 2.057453 2.586061 -1.685910 2.000554 2.597734 -1.678334 1.943677 2.586061 -1.685910 1.886778 2.597734 -1.685910 1.829890 2.597734 -1.685910 1.773002 2.597734 -1.685910 1.716115 2.597734 -1.685910 1.659227 2.597734 -1.685910 1.602339 2.597734 -1.685910 1.545451 2.597734 -1.685910 1.488564 2.597734 -1.685910 1.431676 2.597734 -1.693476 1.374780 2.609393 -1.685910 1.317900 2.597734 -1.685910 1.261012 2.597734 -1.685910 1.204125 2.597734 -1.685910 1.147237 2.597734 -1.685910 1.090349 2.597734 -1.685910 1.033461 2.597734 -1.693476 0.976568 2.609393 -1.693476 0.919681 2.609393 -1.693476 0.862793 2.609393 -1.693476 0.805906 2.609393 -1.693476 0.749018 2.609393 -1.701033 0.692127 2.621036 -1.693476 0.635243 2.609393 -1.693476 0.578356 2.609393 -1.708580 0.521463 2.632665 -1.716117 0.464573 2.644279 -1.716117 0.407687 2.644279 -1.716117 0.350800 2.644279 -1.731164 0.293910 2.667463 -1.685910 0.237032 2.597734 -1.678334 0.180146 2.586061 -1.693476 0.123256 2.609393 -1.701033 0.066368 2.621036 -1.708580 0.009481 2.632665 -1.693476 -0.047406 2.609393 -1.693476 -0.104294 2.609393 -1.701033 -0.161180 2.621036 -1.693476 -0.218069 2.609393 -1.693476 -0.274956 2.609393 -1.701033 -0.331842 2.621036 -1.708580 -0.388727 2.632665 -1.701033 -0.445616 2.621036 -1.701033 -0.502503 2.621036 -1.716117 -0.559384 2.644279 -1.708580 -0.616274 2.632665 -1.708580 -0.673161 2.632665 -1.708580 -0.730048 2.632665 -1.708580 -0.786934 2.632665 -1.701033 -0.843826 2.621036 -1.708580 -0.900708 2.632665 -1.708580 -0.957595 2.632665 -1.708580 -1.014482 2.632665 -1.708580 -1.071369 2.632665 -1.708580 -1.128255 2.632665 -1.708580 -1.185142 2.632665 -1.708580 -1.242029 2.632665 -1.708580 -1.298916 2.632665 -1.716117 -1.355795 2.644279 -1.708580 -1.412690 2.632665 -1.708580 -1.469576 2.632665 -1.716117 -1.526455 2.644279 -1.708580 -1.583350 2.632665 -1.701033 -1.640246 2.621036 -1.701033 -1.697133 2.621036 -1.716117 -1.754001 2.644279 -1.716117 -1.810887 2.644279 -1.716117 -1.867774 2.644279 -1.716117 -1.924660 2.644279 -1.701033 -1.981569 2.621036 -1.708580 -2.038445 2.632665 -1.716117 -2.095320 2.644279 -1.708580 -2.152218 2.632665 -1.716117 -2.209093 2.644279 -1.723645 -2.265967 2.655878 -1.716117 -2.322866 2.644279 -1.723645 -2.379739 2.655878 -1.723645 -2.436625 2.655878 -1.716117 -2.493525 2.644279 -1.716117 -2.550412 2.644279 -1.716117 -2.607298 2.644279 -1.716117 -2.664185 2.644279 -1.723645 -2.721056 2.655878 -1.723645 -2.777943 2.655878 -1.716117 -2.834844 2.644279 -1.716117 -2.891731 2.644279 -1.716117 -2.948618 2.644279 -1.723645 -3.005487 2.655878 -1.716117 -3.062391 2.644279 -1.716117 -3.119277 2.644279 -1.708580 -3.176181 2.632665 -1.708580 -3.233068 2.632665 -1.708580 -3.289955 2.632665 -1.701033 -3.346860 2.621036 -1.685910 -3.403785 2.597734 -1.670749 -3.460712 2.574372 -1.655548 -3.517640 2.550951 -1.197189 -3.585223 1.844688 -1.197189 -3.642131 1.844688 -1.188976 -3.699062 1.832034 -1.172519 -3.756016 1.806675 -0.522104 -3.919139 0.804483 -0.522104 -3.976076 0.804483 -0.512970 -4.033040 0.790410 -0.621738 -4.165559 0.958005 -0.630720 -4.222463 0.971845 -0.657592 -4.279311 1.013251 -0.666525 -4.336213 1.027015 -0.675445 -4.393115 1.040759 -0.666525 -4.450074 1.027015 -0.666525 -4.507005 1.027015 -0.666525 -4.563935 1.027015 -0.657592 -4.620896 1.013251 -0.666525 -4.677797 1.027015 -0.666525 -4.734727 1.027015 -0.666525 -4.791658 1.027015 -0.675445 -4.848556 1.040759 -1.746171 4.825765 2.690588 -1.776073 4.730852 2.736662 -1.776073 4.645526 2.736662 -1.776073 4.560200 2.736662 -1.966808 4.388930 3.030555 -1.916066 4.303777 2.952370 -1.805825 4.218804 2.782504 -1.746171 4.133661 2.690588 -1.670749 3.934782 2.574372 -1.768612 3.849171 2.725166 -1.776073 3.763824 2.736662 -1.768612 3.678519 2.725166 -1.776073 3.593172 2.736662 -1.768612 3.507866 2.725166 -1.776073 3.422520 2.736662 -1.768612 3.337213 2.725166 -1.776073 3.251868 2.736662 -1.761141 3.166577 2.713654 -1.753661 3.081267 2.702128 -1.723645 2.996006 2.655878 -1.678334 2.910774 2.586061 -1.663153 2.825474 2.562669 -1.670749 2.740125 2.574372 -1.685910 2.654763 2.597734 -1.670749 2.569460 2.574372 -1.678334 2.484114 2.586061 -1.678334 2.398781 2.586061 -1.685910 2.313436 2.597734 -1.685910 2.228105 2.597734 -1.685910 2.142773 2.597734 -1.678334 2.057453 2.586061 -1.678334 1.972121 2.586061 -1.685910 1.886778 2.597734 -1.685910 1.801446 2.597734 -1.685910 1.716115 2.597734 -1.685910 1.630783 2.597734 -1.685910 1.545451 2.597734 -1.685910 1.460120 2.597734 -1.693476 1.374780 2.609393 -1.685910 1.289456 2.597734 -1.685910 1.204125 2.597734 -1.685910 1.118793 2.597734 -1.685910 1.033461 2.597734 -1.685910 0.948130 2.597734 -1.693476 0.862793 2.609393 -1.693476 0.777462 2.609393 -1.701033 0.692127 2.621036 -1.708580 0.606793 2.632665 -1.708580 0.521463 2.632665 -1.716117 0.436130 2.644279 -1.716117 0.350800 2.644279 -1.701033 0.265473 2.621036 -1.678334 0.180146 2.586061 -1.701033 0.094812 2.621036 -1.708580 0.009481 2.632665 -1.693476 -0.075850 2.609393 -1.701033 -0.161180 2.621036 -1.693476 -0.246512 2.609393 -1.701033 -0.331842 2.621036 -1.701033 -0.417172 2.621036 -1.701033 -0.502503 2.621036 -1.701033 -0.587834 2.621036 -1.708580 -0.673161 2.632665 -1.708580 -0.758491 2.632665 -1.701033 -0.843826 2.621036 -1.708580 -0.929152 2.632665 -1.708580 -1.014482 2.632665 -1.708580 -1.099812 2.632665 -1.708580 -1.185142 2.632665 -1.701033 -1.270480 2.621036 -1.716117 -1.355795 2.644279 -1.708580 -1.441133 2.632665 -1.716117 -1.526455 2.644279 -1.708580 -1.611793 2.632665 -1.701033 -1.697133 2.621036 -1.716117 -1.782444 2.644279 -1.716117 -1.867774 2.644279 -1.708580 -1.953114 2.632665 -1.708580 -2.038445 2.632665 -1.708580 -2.123775 2.632665 -1.716117 -2.209093 2.644279 -1.723645 -2.294410 2.655878 -1.723645 -2.379739 2.655878 -1.723645 -2.465068 2.655878 -1.716117 -2.550412 2.644279 -1.716117 -2.635742 2.644279 -1.723645 -2.721056 2.655878 -1.716117 -2.806401 2.644279 -1.716117 -2.891731 2.644279 -1.716117 -2.977061 2.644279 -1.716117 -3.062391 2.644279 -1.716117 -3.147720 2.644279 -1.708580 -3.233068 2.632665 -1.708580 -3.318398 2.632665 -1.685910 -3.403785 2.597734 -1.663153 -3.489176 2.562669 -1.197189 -3.585223 1.844688 -1.188976 -3.670608 1.832034 -1.172519 -3.756016 1.806675 -0.512970 -3.947634 0.790410 -0.512970 -4.033040 0.790410 -0.612743 -4.194053 0.944145 -0.657592 -4.279311 1.013251 -0.675445 -4.364650 1.040759 -0.666525 -4.450074 1.027015 -0.666525 -4.535470 1.027015 -0.657592 -4.620896 1.013251 -0.66652
评论
    相关推荐
    • 三维重建sfm
      一套关于sfm三维重建的代码,是基于matlab的,亲测能运行,无需进行相机标定,能实现三维稠密重建,有注释。
    • 三维重建.zip
      三维重建是指对三维物体建立适合计算机表示和处理的数学模型,是在计算机环境下对其进行处理、操作和分析其性质的基础,也是在计算机中建立表达客观世界的虚拟现实的关键技术。
    • 三维重建
      单目标定 双目标定 立体匹配 双目测距 三维重建
    • 三维重建
      三维重建资料收集 VC的许多程序 C++代码 Matlab代码 文章等资料
    • point3d 点云三维重建
      点云三维重建,用matlab写成的,效果很好,而且速度也比较快 文件列表: point3d\点云的三维重建\Block.mat point3d\点云的三维重建\Bunny.bmp point3d\点云的三维重建\Cactus.mat point3d\点云的三维重建\Chair.mat...
    • 三维重建算法 MATLAB 点云数据
      三维重建算法 MATLAB 点云数据。。
    • 三维重建VC++
      三维重建的VC++代码,需已知两个相机的投影矩阵来计算基本矩阵F OPENCV+OPENGL
    • matlab三维重建
      两个关于MATLAB的三维重建代码,MRF模型,有需要的下载,大家一起探讨,谢谢!
    • 三维重建程序
      利用图像进行三维重建,sift特征提取及匹配计算出摄像机矩阵,得出图像点对应的三维坐标,从而得到图像点三维重建坐标。
    • 三维重建代码
      傅里叶变换积分法-frankotchellapa.m。matlab代码和文献