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Description: 几篇关于特征提取的好文章啊，包括点云和三角面片的特征识别与提取-Several feature extraction on a good article ah, including point clouds and triangular patches of feature recognition and extraction
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Author: 陈杰 |
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Description: 斯坦福大学的双剑点云，对用PLY点云操作有用处。-a point clouds
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Size: 555008 |
Author: xw |
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Description: powercrust 三维点云曲面重构算法，可直接运行！-powercrust surface reconstruction from point clouds
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Size: 212992 |
Author: 竹林英客 |
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Description: C++ 实现点云数据网格，网格数据的滤波处理！-Triangulation of point clouds and mesh filter in C++
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Size: 845824 |
Author: 竹林英客 |
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Description: LasLib面向Oracle的点云数据入库源代码。-libOPC- Oracle Point Clouds
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Size: 2593792 |
Author: swtech |
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Description: Describes 2 methods for registration of point-clouds to meshes. These are ICP and Helical-Motion. For more, see: http://www.youtube.com/watch?v=MxyyZ0907nM
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Size: 5501952 |
Author: Araon |
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Description: matlab图像处理代码，利用算法对点云数据进行直方图以及标准差统计，含M文件和GUI-matlab image processing code, the use of algorithms for point cloud data, histograms and standard deviation statistics, including documentation and GUI M
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Size: 9216 |
Author: yy |
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Description: 文介绍了如何使用Bundler来根据图片得到相机参数以及一些空间点云数据，得到的数据将能够运用在3D重建中。利用Bundler可以得到较为稀疏的点云（point clouds）数据。如果需要得到更密集的点，可以使用Yasutaka Furukawa博士写的另外一个非常强大的软件包，称为PMVS2。一种比较常见的途径是使用Bundler来得到相机参数，然后使用Bundle2PMVS程序，将生成结果转换为PMVS2的输入，然后使用PMVS2来得到更密集的点云。另外，读者们可能会对另外一个同样由Furukawa博士开发的实用工具——CMVS感兴趣，CMVS是一个场景聚类程序，在使用PMVS2前可以使用它来进行一些预处理。
-Photogrammetry
3D reconstruction using Bundler and PMVS2 and CMVS
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Size: 5120 |
Author: binbin |
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Description: 欢迎视觉革命。在微软的Kinec带领下，您现在可以使用三维计算机视觉技术建立数字化三维模型，人和物体，你可以用手势和语音指令操作。这手势指导，提供所有的技术和概念的信息，你需要为Kinect建立出色应用，使用的加工编程语言和Arduino的微控制器。
无论你是学生，业余爱好者，制造商，玩家，或硬件黑客，Ｔｈｉｎｇｓ Ｓｅｅ让你与几个Kinect的项目运行，给予你用这神奇的三维计算机视觉技术建立你自己的玩意和创意项目的技能和经验。解锁你的能力，建立与Kinect的交互式应用程序。
了解面部识别，步态分析和深度成像
分析和操作点云
用骨架和姿势检测，跟踪检测对象，使用ｂｌｏｃｋ ｔｒａｃｊｉｎｇ 检测物体
使用手势接口作为辅助技术
为设计和制造创建模型，使用三维扫描技术和三维打印机钻研动物和动画的运动跟踪
在这本书中用廉价的现成组件构建书里的每一个项目.-Welcome to the Vision Revolution. With Microsoft’s Kinect leading the way, you can now use 3D computer vision technology to build digital 3D models of people and objects that you can manipulate with gestures and spoken commands. This hands-on guide provides all the technical and conceptual information you need to build cool applications for Kinect, using the Processing programming language and the Arduino microcontroller.
Whether you’re a student, hobbyist, maker, gamer, or hardware hacker, Making Things See gets you running with several Kinect projects, and gives you the skills and experience you need to build your own fun and creative projects with this magical 3D computer vision technology. Unlock your ability to build interactive applications with Kinect.
Learn about face recognition, gait analysis, and depth imaging
Analyze and manipulate point clouds
Track people with skeletonization and pose detection, and use blob tracking to detect objects
Use gestural interfaces f
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Author: hjm |
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Description: 迭代最邻近点算法进行3D点云的匹配，四元数方法求旋转-ICP algorithm for point clouds
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Size: 1024 |
Author: Bo Wang |
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Description: The zip-file contains the following files for visualizing distributions:
- distributionPlot.m: main function that allows creating violin plots
- histogram.m: generate histograms with ideal bin width given the number of data points and the spread (Freedman-Diaconis rule). Note that for integer-valued data, each integer gets its own bin.
- plotSpread.m: plot point clouds with no overlap. Works well for small number of data points, i.e. when there are less than ~20 values per bin.-The zip-file contains the following files for visualizing distributions:
- distributionPlot.m: main function that allows creating violin plots
- histogram.m: generate histograms with ideal bin width given the number of data points and the spread (Freedman-Diaconis rule). Note that for integer-valued data, each integer gets its own bin.
- plotSpread.m: plot point clouds with no overlap. Works well for small number of data points, i.e. when there are less than ~20 values per bin.
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Size: 20480 |
Author: Karthi |
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Description: 三维点云法向量估计综述，由于获取方便、表示简单、灵活等优势，点云逐渐成为常用的三维模型表示方法之一-Point clouds are becoming more and more common for the representation of 3D geometry models because of its
advantages over mesh models
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Size: 705536 |
Author: 丰祥 |
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Description: 迭代最邻近点算法: 计算两组点云之间的最佳匹配效果-Iterative closest point (ICP) algorithm: seaching the best overlapping result of two point clouds
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Size: 11264 |
Author: 郭帅 |
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Description: vtk显示点云，和点云三角网格化。
源代码已可运行，不过vtk的环境需要你自己配置-vtk display point clouds, and point cloud triangular grid. Source code has been run, but vtk environment requires you to configure
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Size: 1451008 |
Author: 吴照 |
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Description: 根据需要改写，生成三维点云数据用于模拟实验，目前包含了旋转抛物面和单位球点云的生成。-According to the need to rewrite, generating three-dimensional point cloud data is used for simulating experiment, now contains a rotating paraboloid and unit ball point cloud formation.
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Size: 74752 |
Author: 小明 |
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Description: 我们采用无办法变形质量人体模板的网格从其原来的姿势对点云数据指定不同的姿势。在此方法中，我们首先建立粗模板网格和点云通过压缩的光谱嵌入技术，利用人体四肢之间的对应关系。基于这些对应关系，我们定义使用弹性能量泛函的非刚性配准的目标和应用离散的梯度流，以减少粗控制网格和点云之间的区别。然后可从之后使用均值坐标控制网格的变形变形的模板网格。(We employ a deformable, deformable human body template mesh to specify different poses from its original pose to point cloud data. In this approach, we first build coarse template meshes and point clouds through compressed spectral embedding techniques that exploit the correspondence between human limbs. Based on these correspondences, we define the use of elastic energy functionals for nonrigid registration of targets and apply discrete gradient flows to reduce the difference between coarse control grids and point clouds. Thereafter, the template mesh can be controlled by using mean coordinates to control mesh deformation.)
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Size: 6510592 |
Author: CeciEve
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Description: Point clouds programm PointClouds_0.9.0.11.exe
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Size: 3256320 |
Author: osmansab |
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Description: 给定两组点云，在matlab下进行点云配准(Given two sets of point clouds, point cloud registration is carried out under Matlab)
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Size: 2048 |
Author: Mr阿普 |
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Description: matlab代码，可以计算点云中的法向向量，可用于检测点云中的平面等(Calculating normal vectors of point clouds)
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Size: 1024 |
Author: seaffelx |
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Description: 可以切割点云得到截面 并获取平面方程的参数(It is possible to cut point clouds to obtain cross sections and parameters of plane equations.)
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Size: 4408320 |
Author: mabys |
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