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I'm trying to understand the difference between the [FeatureDetector](http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html) class and the [FeatureFinder](http://docs.opencv.org/modules/stitching/doc/matching.html#detail-featuresfinder) class. I've seen panorama examples written in OpenCV use both of these classes and it appears to be possible to use the SURF algorithm with either one. It was my understanding that the SURF FeatureDetector was moved to /nonfree because of possible issues with the SURF algorithm, but yet, FeatureFinder also can employ the SURF algorithm.

What's the difference between these two classes?

I'm trying to understand the difference between the [FeatureDetector](http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html)FeatureDetector class and the [FeatureFinder](http://docs.opencv.org/modules/stitching/doc/matching.html#detail-featuresfinder)FeatureFinder class. I've seen panorama examples written in OpenCV use both of these classes and it appears to be possible to use the SURF algorithm with either one. It was my understanding that the SURF FeatureDetector was moved to /nonfree because of possible issues with the SURF algorithm, but yet, FeatureFinder also can employ the SURF algorithm.

What's the difference between these two classes?

I'm trying to understand the difference between the FeatureDetector class and the FeatureFinder class. I've seen panorama examples written in OpenCV use both of these classes and it appears to be possible to use the SURF algorithm with either one. It was my understanding that the SURF FeatureDetector was moved to /nonfree because of possible issues with the SURF algorithm, but yet, FeatureFinder FeatureFinder also can employ the SURF SURF algorithm.

What's the difference between these two classes?