OpenCV特征检测教程

简介: http://docs.opencv.org/2.4/doc/tutorials/features2d/table_of_content_features2d/table_of_content_features2d.

http://docs.opencv.org/2.4/doc/tutorials/features2d/table_of_content_features2d/table_of_content_features2d.html#table-of-content-feature2d

 

Learn about how to use the feature points detectors, descriptors and matching framework found inside OpenCV.

  • Harris

    Title: Harris corner detector

    Compatibility: > OpenCV 2.0

    Author: Ana Huamán

    Why is it a good idea to track corners? We learn to use the Harris method to detect corners

  • ShiTomasi

    Title: Shi-Tomasi corner detector

    Compatibility: > OpenCV 2.0

    Author: Ana Huamán

    Where we use an improved method to detect corners more accuratelyI

  • GenericCorner

    Title: Creating yor own corner detector

    Compatibility: > OpenCV 2.0

    Author: Ana Huamán

    Here you will learn how to use OpenCV functions to make your personalized corner detector!

  • Subpixel

    Title: Detecting corners location in subpixeles

    Compatibility: > OpenCV 2.0

    Author: Ana Huamán

    Is pixel resolution enough? Here we learn a simple method to improve our accuracy.

  • FeatureDetect

    Title: Feature Detection

    Compatibility: > OpenCV 2.0

    Author: Ana Huamán

    In this tutorial, you will use features2d to detect interest points.

  • FeatureDescript

    Title: Feature Description

    Compatibility: > OpenCV 2.0

    Author: Ana Huamán

    In this tutorial, you will use features2d to calculate feature vectors.

  • FeatureFlann

    Title: Feature Matching with FLANN

    Compatibility: > OpenCV 2.0

    Author: Ana Huamán

    In this tutorial, you will use the FLANN library to make a fast matching.

  • FeatureHomo

    Title: Features2D + Homography to find a known object

    Compatibility: > OpenCV 2.0

    Author: Ana Huamán

    In this tutorial, you will use features2d and calib3d to detect an object in a scene.

  • DetectPlanar

    Title: Detection of planar objects

    Compatibility: > OpenCV 2.0

    Author: Victor Eruhimov

    You will use features2d and calib3d modules for detecting known planar objects in scenes.

相关文章
|
7月前
|
算法 计算机视觉 索引
OpenCV(四十六):特征点匹配
OpenCV(四十六):特征点匹配
174 0
|
7月前
|
存储 资源调度 算法
Opencv(C++)系列学习---SIFT、SURF、ORB算子特征检测
Opencv(C++)系列学习---SIFT、SURF、ORB算子特征检测
358 0
|
2月前
|
计算机视觉
Opencv学习笔记(八):如何通过cv2读取视频和摄像头来进行人脸检测(jetson nano)
如何使用OpenCV库通过cv2模块读取视频和摄像头进行人脸检测,并提供了相应的代码示例。
98 1
|
2月前
|
机器学习/深度学习 计算机视觉
目标检测笔记(六):如何结合特定区域进行目标检测(基于OpenCV的人脸检测实例)
本文介绍了如何使用OpenCV进行特定区域的目标检测,包括人脸检测实例,展示了两种实现方法和相应的代码。
65 1
目标检测笔记(六):如何结合特定区域进行目标检测(基于OpenCV的人脸检测实例)
|
2月前
|
算法 计算机视觉 Python
圆形检测算法-基于颜色和形状(opencv)
该代码实现了一个圆检测算法,用于识别视频中的红色、白色和蓝色圆形。通过将图像从RGB转换为HSV颜色空间,并设置对应颜色的阈值范围,提取出目标颜色的区域。接着对这些区域进行轮廓提取和面积筛选,使用霍夫圆变换检测圆形,并在原图上绘制检测结果。
85 0
|
5月前
|
机器学习/深度学习 传感器 算法
OpenCV4工业缺陷检测的六种方法
OpenCV4工业缺陷检测的六种方法
|
6月前
|
存储 编解码 算法
【Qt&OpenCV 检测图像中的线/圆/轮廓 HoughLinesP/HoughCircles/findContours&drawContours】
【Qt&OpenCV 检测图像中的线/圆/轮廓 HoughLinesP/HoughCircles/findContours&drawContours】
98 0
|
6月前
|
Windows 计算机视觉 Linux
QtCreator 跨平台开发添加动态库教程(以OpenCV库举例)- Windows篇
该文档介绍了Qt的跨平台特性,并推荐在Windows和Linux开发中使用QtCreator。在Windows下添加动态库,可以通过Visual Studio配置.lib文件和.dll文件,或在QtCreator中使用"添加库"功能。在QtCreator中,选择库文件、包含路径,并配置Details,然后更新.pro文件,清除、qmake及构建项目。运行时确保.dll与.exe在同一目录下。
196 0
QtCreator 跨平台开发添加动态库教程(以OpenCV库举例)- Windows篇
|
7月前
|
Linux 开发工具 计算机视觉
QtCreator 跨平台开发添加动态库教程(以OpenCV库举例)- Windows篇
Qt是跨平台的开发工具,推荐使用QtCreator进行Windows和Linux开发。在Windows下,使用Visual Studio创建动态库时,需要配置.lib文件并确保运行时.dll与.exe在同一目录。在QtCreator中添加DLL动态库,可以通过右键项目,选择添加库,然后在Details界面配置库文件、包含路径和平台,最后更新PRO文件并进行清除、qmake和构建步骤。运行时同样需确保.dll文件与可执行文件在同一目录。
193 5
|
6月前
|
移动开发 算法 计算机视觉
技术笔记:openCV特征点识别与findHomography算法过滤
技术笔记:openCV特征点识别与findHomography算法过滤
105 0