Facial Landmarks example with dlib, OpenCV in the Chrysalis Cloud
Facial landmarks are usually the second step in facial recognition. They are used to to scale and align faces for more accurate comparisons in facial recognition. They do have some use cases on their own, such as drowsiness detection, face swap or Snapschat like filters.
This blog post was created on Chrysalis Cloud. You can read it there.