是否有任何快速替代SURF和SIFT的尺度不变特征提取？ [英] Are there any fast alternatives to SURF and SIFT for scale-invariant feature extraction?
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 FREAK 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.
FREAK源代码与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：
FREAK is now part of opencv feature detectors / descriptors.
您可以在这里阅读更多关于几个特征检测器/提取器之间的差异，以及一系列基准，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.
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