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OpenCV 3:可用FeatureDetector :: create()和DescriptorExtractor :: create()选项的列表?

本文介绍了OpenCV 3:可用FeatureDetector :: create()和DescriptorExtractor :: create()选项的列表?的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

编辑:我在看错误的OpenCV2代码示例，OpenCV3中没有FeatureDetector::create-这使我感到困惑.

edit: I was looking at the wrong OpenCV2 code example, there is no FeatureDetector::create in OpenCV3 - this was confusing me.

OpenCV的新手，可以通过拆解其他人的C ++代码来进行示例学习.

Hey new to OpenCV and learning by example by pulling apart other peoples C++ code.

我想尝试以下所有可用选项:

I would like to try all available options for:

detector = FeatureDetector::create(str_detector);
descriptor = DescriptorExtractor::create(str_descriptor);

当前str_detector是FAST，str_descriptor是BRISK

currently str_detector is FAST and str_descriptor is BRISK

我在寻找可用的检测器和描述符时遇到了麻烦.

I am having trouble finding what available Detectors and Descriptors are available to me.

是否可以输出所有当前可用选项的列表?

Is there a way to output a list of all currently available options?

(我刚刚在全新的Linux安装上从github构建了最新的opencv + opencv-contrib)

(I have just built the latest opencv + opencv-contrib from github on a fresh linux install)

我在这里 https://找到了第三方文件列表github.com/Itseez/opencv_contrib/tree/master/modules/xfeatures2d/src -我认为它们是第三描述符和检测器，因为在某些文件中提到了这些词.但是，最好具有当前已编译/可用选项的完整列表.

I have found a list of 3rd party files here https://github.com/Itseez/opencv_contrib/tree/master/modules/xfeatures2d/src - I think these are 3rd Descriptors and Detectors because those words are mentioned in some of the files. However it would be nice to have a full list of currently compiled/available options to play with.

谢谢！

尝试自己找到答案，请随时

Trying to find the answer myself, edits as I go:

  1. 在modules/features2d/include/opencv2/features2d.hpp
    2. 中找到了typedef Feature2D FeatureDetector和typedef Feature2D DescriptorExtractor
  2. 现在正在挖掘Feature2D ...
  3. 我很困惑，我的C ++失败了，create .cpp"rel =" noreferrer> https://github.com/Itseez/opencv/blob/master/modules/features2d/src/feature2d.cpp
  4. 好的，所以只需浏览代码即可( https://github.com/Itseez/opencv/blob/master/modules/features2d/include/opencv2/features2d.hpp )
    • 危险
    • ORB
    • MSER
    • FastFeatureDetector/FAST
    • AgastFeatureDetector/AGAST
    • GFTTDetector
    • SimpleBlobDetector
    • KAZE/AKAZE
  1. Found typedef Feature2D FeatureDetector and typedef Feature2D DescriptorExtractor in modules/features2d/include/opencv2/features2d.hpp
  2. Digging for Feature2D now...
  3. I'm so confused, my C++ is failing me, there is no create in https://github.com/Itseez/opencv/blob/master/modules/features2d/src/feature2d.cpp
  4. ok so just looking through the code ( https://github.com/Itseez/opencv/blob/master/modules/features2d/include/opencv2/features2d.hpp )
    • BRISK
    • ORB
    • MSER
    • FastFeatureDetector / FAST
    • AgastFeatureDetector / AGAST
    • GFTTDetector
    • SimpleBlobDetector
    • KAZE / AKAZE
  • 怪胎
  • StarDetector
  • BriefDescriptorExtractor
  • LUCID
  • 闩锁
  • DAISY
  • MSDDetector
  • SIFT
  • SURF

推荐答案

您还拥有OpenCV文档，其中包含OpenCV功能的列表:

You have also the OpenCV documentation to have a list of OpenCV features:

  • OpenCV 3.1 documentation
  • OpenCV 3.1 contrib documentation

我只知道该功能仅在关键点检测或描述符提取中可用，还是两者都可用，是要阅读文档中链接的相应论文.它还允许对功能进行简短描述(例如，如果它是二进制描述符，主要优点等)

What I do to know if the feature is available only in keypoints detection or descriptor extraction or both is to read the corresponding paper linked in the documentation. It allows also to have a brief description of the features (for example if it is a binary descriptor, main advantages, etc.)

其他解决方案是测试每个功能:

Other solution is to test each feature:

  • 如果对detect()的调用正常(不引发异常)==>功能检测
  • 如果对compute()的调用正常==>特征提取
  • 如果对detectAndCompute()的调用正常==>两者
  • 或直接查看源代码.
  • if the call to detect() is ok (no exception thrown) ==> feature detection
  • if the call to compute() is ok ==> feature extraction
  • if the call to detectAndCompute() is ok ==> both
  • or looking directly into the source code.

也许存在更优化的解决方案...

Maybe a more optimal solution exists...

无论如何，据我所知(如果我做错了，请随时纠正我):

Anyway, from my knowledge (feel free to correct me if I am wrong):

  • 危险:检测器+描述符
  • ORB:检测器+描述符
  • MSER:探测器
  • 快速:检测器
  • AGAST:探测器
  • GFFT:检测器
  • SimpleBlobDetector:检测器
  • KAZE:探测器+描述符
  • AKAZE:检测器+描述符
  • 怪胎:描述符
  • StarDetector:探测器
  • BriefDescriptorExtractor:描述符
  • LUCID:描述符
  • 闩锁:描述符
  • DAISY:描述符
  • MSDDetector:检测器
  • SIFT:检测器+描述符
  • SURF:检测器+描述符
  • BRISK: detector + descriptor
  • ORB: detector + descriptor
  • MSER: detector
  • FAST: detector
  • AGAST: detector
  • GFFT: detector
  • SimpleBlobDetector: detector
  • KAZE: detector + descriptor
  • AKAZE: detector + descriptor
  • FREAK: descriptor
  • StarDetector: detector
  • BriefDescriptorExtractor: descriptor
  • LUCID: descriptor
  • LATCH: descriptor
  • DAISY: descriptor
  • MSDDetector: detector
  • SIFT: detector + descriptor
  • SURF: detector + descriptor

在OpenCV 3.1中，代码也是:

Also with OpenCV 3.1, the code is:

cv::Ptr<cv::Feature2D> kaze = cv::KAZE::create(); 
std::vector<cv::KeyPoint> kpts; 
cv::Mat descriptors; 
kaze->detect(matImg, kpts); 
kaze->compute(matImg, kpts, descriptors); 
kaze->detectAndCompute(matImg, cv::noArray(), kpts, descriptors);

cv::Ptr<cv::Feature2D> daisy = cv::xfeatures2d::DAISY::create(); //Contrib

要知道要使用哪种规范类型:

To know which norm type to use:

  std::cout << "AKAZE: " << akaze->descriptorType() << " ; CV_8U=" << CV_8U << std::endl;
  std::cout << "AKAZE: " << akaze->defaultNorm() << " ; NORM_HAMMING=" << cv::NORM_HAMMING << std::endl;

最后，为什么

这篇关于OpenCV 3:可用FeatureDetector :: create()和DescriptorExtractor :: create()选项的列表?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！

09-15 22:05
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