4 ms·
Yes? What is the state of the art?
by DougMerritt 3y ago
Yes? What is the state of the art?
- jhoydich 3y agoI believe the SIFT algorithm is most commonly used. Harris struggles when features change in scale between images, whereas SIFT does not. Harris can be outfitted with a Laplacian pyramid to overcome the scale issue though.
- mathisfun123 3y agowhich is funny since SIFT is basically just as ancient.
- anilz 3y agoActually, it is a part of the ORB algorithm and ORB is especially used a lot in visual SLAM applications.
- michaelt 3y agoThe most widely used algorithms for classical feature detection today are "whatever opencv implements" In terms of tech that's advancing at the moment? ML techniques. https://co-tracker.github.io/ https://co-tracker.github.io/ if you want to track individual points, https://github.com/matterport/Mask_RCNN https://github.com/matterport/Mask_RCNN and its descendents if you want to detect, say, the cover of a book.