搜索资源列表
wjyView
- 图像特征点提取Moravec 图像特征点提取Forstner算法(Image feature point extraction, Moravec image, feature point extraction, Forstner algorithm)
车辆行驶工况与特征的研究
- 对几个典型国家和地区(美国、欧洲和日本)开发并采用的几种有代表性的行驶工况做了全面的介绍；接着，对它们各自的特征进行深入的研究和对比；最后得出几点结论。(A comprehensive introduction to several typical driving conditions developed and adopted by several typical countries and regions (USA, Europe and Japan); Then, the research
3D-reconstruction-master
- 3d 重建 包括特征点的提取，匹配，以及三维点云的建立(3d reconstruction ,including feature detection and 3 D points cloud ,the change from 2D to 3D)
code1
- 特征点提取及图像匹配,局部图像特征提取匹配(Feature point extraction and image matching, local image feature extraction matching.)
RGBD_slam
- 简单的RGBD-slam程序，包含特征点检测，特征描述，点云地图的生成等。(Simple RGBD-slam procedures, including feature point detection, feature descr iption, point cloud map generation.)
Harris角点检测
- 原理简介，应用方向，特征点提取算法汇集，数学表达方式(Brief introduction of principle)
新建 好压 ZIP 压缩文件
- 基于matlab平台的harris coener角点检测算法，检测一幅图像中比较突出的特征点，可用于图像匹配或者导航(Harris coener corner detection algorithm based on MATLAB platform detects the salient feature points in an image, which can be used for image matching or navigation)
海量点云数据轮廓特征线的快速生成算法_程效军
- 点云切片算法，海量点云中切片及其算法，速度快，精度高，非常棒(Point cloud slicing algorithm, massive cloud point slice and its algorithm, fast, high precision, great)
特征线提取
- 点云数据中面的特征线的提取，也就是两个面的交线的提取(characteristic curve of point cloud data extraction)
68033465featureextraction
- 基于图像的特征提取，对图片里面包含的一些特征点进行提取(Based on the feature extraction of images, some feature points are extracted from the image.)
特征检测
- 图像特征提取是计算机视觉和图像处理中的一个概念。它指的是使用计算机提取图像信息，决定每个图像的点是否属于一个图像特征。包括：Harris角点、ShiTomasi角点、亚像素级角点、SURF角点、Star关键点、FAST关键点、Lepetit关键点等等(Image feature extraction is a concept in computer vision and image processing. It refers to using a computer to extract imag
三维点云显示
- 三维电云整合,点云显示，点云强化，三维点云的特征保持(3D cloud integration, point cloud display, point cloud enhancement, and 3D point cloud feature retention)
tezhengpipei
- 能够识别特征点从而在杂乱地图中找出寻找的物品(Identify feature points to find items in a cluttered map)
narf_pfh_sac_Registration
- 基于特征的点云全局配准算法： NARF特征点提取+PFH描述子计算+SAC-IA位姿变换计算。(Feature based global registration algorithm for point cloud: The NARF feature points are extracted + PFH descr iptors, and the calculation of + SAC-IA position and attitude transformation is calculate
1.6 尺度不变特征提取
- 角点特征的特征，该小节说明角点问题，详细说明(The feature of the angular feature, which indicates the Angle point problem)
BraTS2017特征提取
- 提取标注过的MRI影像的特征，每个点可展开为237维向量。(The features of the labeled MRI image are extracted, and each point can be expanded to a 237 dimensional vector.)
LS
- 传统的点云配准方法，与最小二乘坐标转换相似，基于特征点的刚性变换配准方法(point cloud registration)
SIFT特征匹配
- 包括SIFT匹配方法和利用特征点计算单应性的程序，同时可以显示匹配点对(It includes the SIFT matching method and the program to calculate homography based on the feature points, and displays matching point pairs.)
Canupo
- C++编码，基于线性判别分析（LDA）和支持向量机（SVM）的多尺度维度特征点云分类算法，通过机器学习方法精确分类。效果可达95%以上，本文件夹内含有详细中文教程。
sift点特征提取
- 利用sift算子进行点特征提取，并进行影像匹配(Sift operator is used to extract point features and image matching.)