Search⌘ K

Face Landmarking Using Dlib

Let’s learn to extract face landmarks using the Dlib Python library.

Introduction to face landmarking

The faithful identification of facial features and landmarks constitutes a rudimentary process and a foundation for a wide range of more advanced computer vision tasks, such as facial recognition and facial expression analysis.

At their highest level, the facial landmarks are regarded as a set of key points, generally located on the corners of the main facial components. By leveraging computer vision techniques, the detection of face landmarks can be used for a lot of applications, including the following:

  • Extraction of face parts (that is, nose, eyes, mouth, jawline, and so on)
  • Alignment of faces
  • Swapping of faces
  • Detection of blinking eyes
  • Detection of drowsiness

Objective

This lesson will present the Dlib Python library and will help to visualize 68 face key points. The inner algorithms of this robust library ...