Face Landmarking Using Dlib
Explore the use of the Dlib library to detect and visualize 68 key facial landmarks. Understand how to localize face regions and identify features like eyes, nose, and mouth for tasks such as face alignment and feature extraction.
We'll cover the following...
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 ...