E.g. https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_feature...

These were at the root of many detectors. They still are for some applications but for most of them, a few layers of CNN manage to train far better and very counter-intuitive detectors.

Facial detection/recognition was based on features, this is not my specialty, I don't know if DL got better there too as their features were pretty advanced but if they are not there yet I am sure it is just a matter of time.

I can see image stitching benefiting from a deep-learned filter pass too.

Camera calibration is pretty much a solved problem by now, I don't think DL adds a lot to it.

Like I said, not everything became obsolete, but around 50% of the field was taken over my DL algorithms where, before that, hand-crafted algorithms had usually vastly superior performances.