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PSA : The Harris Corner detector, while interesting to understand if you like linear algebra, is not exactly what you'd call state of the art in the feature det
by ur-whale 3y ago
PSA : The Harris Corner detector, while interesting to understand if you like linear algebra, is not exactly what you'd call state of the art in the feature detection layer of computer vision.
- DougMerritt 3y agoYes? 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.