搜索资源列表
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proc lustre llite mount point registration for Linux v2.13.6.
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ICP算法在点云数据配准方面的一个例子，可以参考-An example of ICP algorithm in terms of point cloud data registration, you can refer
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matlab code for B-spline Grid, Image and Point based Registration
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In point set analysis, it is useful to compare 2 sets of points by computing the distance between each possible point pair. For example, this is a required step in the ICP point set registration algorithm. MATLAB s built in function for computing the
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code for the point set registration
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icp算法的实现和kd-tree功能的实现，实现了三维激光扫描仪获取的多视点云配准和建立离散点间的拓扑关系，实现基于领域关系的快速查找。-kd-tree implementation and realization of function icp algorithm to achieve a multi-view point cloud registration and establish topological relations between discrete points, field-
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Point cloud registration using Least-Squares estimation
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对图像进行FAST特征点提取，对提取出的特征点计算互信息，以互信息为相似性度量进行图像配准-FAST the image feature point extraction, the extracted feature point mutual information to mutual information image registration as a similarity measure
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首先使用FAST对图像进行特征点提取，之后生成ORB描述符，进行点特征匹配，可以达到快速精确配准-The first to use the image FAST feature point extraction, after generating ORB descr iptors were point feature matching, can achieve fast and accurate registration
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一种基于匈牙利算法和相关向量机的点模式匹配算法，可以有效解决点集的刚性和非刚性变换的参数求解问题。-A point set registration method based on Hungarian Algorithm and RVM which can well solve the parameters of rigid and non-rigid transform.
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proc lustre llite mount point registration.
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SIFT特征点检测配准方法建立高斯尺度空间的程序，比较有用-Registration SIFT feature point detection method to establish the Gaussian scale space program, more useful
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ICP图像配准算法的matlab程序。Robust Registration of 2D and 3D Point Sets-Andrew Fitzgibbon
University of Oxford-Robust Registration of 2D and 3D Point Sets-Andrew Fitzgibbon
University of Oxford
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基于kenel correlation的非刚性配准算法的matlab程序代码。A Correlation-Based Approach to
Robust Point Set Registration-A Correlation-Based Approach to
Robust Point Set Registration
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基于PCL库的图像实时识别，PCL（Point Cloud Library）是在吸收了前人点云相关研究基础上建立起来的大型跨平台开源C++编程库，它实现了大量点云相关的通用算法和高效数据结构，涉及到点云获取、滤波、分割、配准、检索、特征提取、识别、追踪、曲面重建、可视化等。支持多种操作系统平台，可在Windows、Linux、Android、Mac OS X、部分嵌入式实时系统上运行-Image library based on real-time identification PCL, PCL
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msos 2015年9月11日
1、Gui增加单精度浮点类型GuiDataTypeFloatDec，字符串直接显示类型GuiDataTypeString，采用sprintf解析数字，转换成字符显示，ModifyTextBoxData函数全新设计，支持对单精度数据类型float加减。
2、App和Menu中增加了单精度浮点数据类型的例子和直接字符串显示的例子。
3、增加data和menu数据类型，在系统层定义了data的全局指针AppDataPointer,这样便于在系统设
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基于surf的图像拼接技术包括三大部分：特征点提取与匹配，图像配准，图像合成。-Surf image stitching technology based include three parts: the feature point extraction and matching, image registration, image synthesis.
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Matlab经典的ICP点云配准算法，内部包含三个例子，亲测可用。-Matlab classic ICP point cloud registration algorithm. There are three examples in the Zip file. I have texted that it can be used successfully.
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本代码是应用sift算法进行的特征点匹配与配准，可以应用于图像拼接，人脸识别等等，用法非常强大。可以运行-This code is matched with the feature point registration application sift algorithm can be applied to the image stitching, face recognition, etc., usage is very powerful. You can run
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the 4 pcs algorithm for registration of point clouds
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