问题描述
SURF已获得专利，SIFT也是如此。 ORB和BRIEF没有专利，但它们的特征不是尺度不变的，严重限制了它们在复杂场景中的有用性。
SURF is patented, as is SIFT. ORB and BRIEF are not patented, but their features are not scale-invariant, seriously limiting their usefulness in complex scenarios.
有任何特征提取器可以提取尺度不变
Are there any feature extractors that can extract scale-invariant features as fast as SURF and are not so strictly patented as SURF and SIFT?
推荐答案
虽然你已经选择了BRISK，你可能会发现有趣。作者声称具有比BRISK和ORB更好的结果。我还应该补充说，ORB 是比例不变，但在该领域有一些问题。
Although you already choose BRISK, you might find FREAK interesting. Author claims to have better results than BRISK and ORB. I should also add that ORB is scale-invariant but has some problems in that area. So I would still recommend it for someone to try it.
与OpenCV兼容（多么容易合并它们，我不知道），作者正在将其提交到OpenCV项目。
The FREAK source code is compatible with OpenCV (how easy it is to merge them I do not know) and the author is working on submitting it to the OpenCV project.
编辑：
关于几个特征检测器/提取器之间的差异，，包括FREAK和其他流行的基准。
You can read here more about the differences between several feature detectors/extractors, and also a series of benchmarks which includes FREAK and other popular ones.
这篇关于是否有任何快速替代SURF和SIFT的尺度不变特征提取？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！