搜索资源列表
GDAL-correlator-master
- GDAL-correlator-master.zip是由C++采用开源代码gdal实现的自动查找两幅图片中相同的特征点的配准算法，surf算法。-GDAL-correlator-master.zip by C++ implementations using the open source gdal registration algorithms automatically find the same two pictures feature points, surf algorithms.
Source
- 基于SIFT特征的图像配准，对SIFT算法原创作者的C代码进行了MATLAB包装-SIFT-based image registering
registation
- 一些常用的图像配准算法，基于灰度，基于特征点等-Some commonly used image registration algorithms, based on gray scale, based on feature points, etc.
sift
- 这个代码是SIFT代码，SIFT是基于特征点的配准方。具有尺度，旋转不变性等特点-This code is a SIFT Code, SIFT is feature registration based on feature points. It has the scale, rotation invariance。
build_scale
- 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
match
- 使用sift算法提取图像特征点，用BBF的索引方式进行配准-extract image features using sift algorithm and complete the registration and stitch by BBF way
SURF
- 快速尺度，旋转不变性点特征提取算法，有实例，另附配准程序。-SURF: Speeded Up Robust Features
scene_labelling_rgbd-groovy
- 基于PCL的图像识别处理,CL（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 recognition based on PCL
Pcl_object_recognition
- 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
sift
- sift特征提取算法，配准算法，匹配算法，测试通过-sift Feature extraction algorithm, registration algorithm, matching algorithm, testing through
ImageRegistration-CPP
- 基于特征的图像配准方法的C++实现，在待配准图像上选取三个特征点来对图像进行配准-To the registration of the image feature-based image registration method implemented in C++, choose three feature points on the image to be registered
Surf-based-image-mosaic
- 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.
ICP_test_demo
- ICP算法即：迭代最近点法（Iterative Closest Points Algorithm）。ICP算法由Besl和Mckey提出，是一种基于轮廓特征的点配准方法主要用于解决基于自由形态曲面的配准问题。
45398761sift
- 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
PCLCode
- PCL课本全章源码的，包含I/O,kd-tree,八叉树，可视化，滤波，深度图像，关键点。采样一致性算法，点云特征描述与提取，点云配准，点云分割，点云曲面重建-the code of book“Point Cloud Library”
SURF
- 特征点提取与匹配，很好的一种图像配准算法-Feature point extraction and matching, a good image registration algorithm
matchbycorrelation
- 本程序是基于特征点的图像配准，通过Harris角点的检测进行配准，配准速度快-This procedure is based on the feature point image registration, registration is carried out by detecting the Harris corner point, fast registration
PicMatch
- 基于C++的图像配准算法，通过提取特征点，完成特征点匹配，估计运动模型参数，完成图像配准-C++ based image registration algorithm
Image-Registration-by-using-SIFT
- 基于SIFT特征的图像配准Matlab版本，新手可以看一看，还是蛮有用的！-Image registration based SIFT feature( Matlab version), and it s very useful for the rookies!
Image-registration-technology
- 完整的基于特征点的图像配准，已调试，里面包含调试用图像。-Complete image registration based on the feature points, has been debugged, which contains the debugging image.