问题描述
我已经在许多论文和文章中了解了该检测器(尽管我不了解它的详细信息)，并且在许多情况下，它比DoG更好.
I've read about this detector in many papers and articles (though I don't know it in details) and I've read that it is much better than DoG in many situations.
最初，我以为Hessian-affine是SURF检测器，但它们不是同一回事，对吧?
Initially, I thought the Hessian-affine was the SURF detector, but they're not the same thing, right?
是否有任何OpenCV实施?
Is there any OpenCV implementation?
推荐答案
抱歉，在OpenCV中未实现此检测器( http://code.opencv.org/issues/1628 )
Sorry, no implementation of this detector in OpenCV (http://code.opencv.org/issues/1628)
不，不是同一回事.
长话短说，SURF是检测器和描述符的家族"，其中有很多，如您在OpenCV文档中所见( http://docs.opencv.org/3.0-beta/doc/py_tutorials/py_feature2d/py_surf_intro/py_surf_intro.html /a>).
Long story short, SURF is a "family" of detectors and descriptors, and there are plenty of of them, as you can see it in the OpenCV documentation (http://docs.opencv.org/3.0-beta/doc/py_tutorials/py_feature2d/py_surf_intro/py_surf_intro.html).
根据我记得的情况，DoG的行为与通常针对自然图像的Hessian仿射检测器相同.
From what I remember DoG behave the same than Hessian affine detector usually for natural images.
希望这会有所帮助.
这篇关于OpenCV中的Hessian-仿射检测器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！