Experiencing Facial Recognition and Augmented Reality (AR)

In this session, we’ll use AI to track facial movements in real time and experience virtual garment fitting through Augmented Reality (AR).

How can a camera continue to recognize the position of a face even as it moves?

This is possible because the camera detects facial landmarks, which help it track the position of the face over time.

In this lesson, we’ll use a library called MindAR for facial recognition.

MindAR is a web-based augmented reality library that uses JavaScript, a language for creating interactive web features, and WebAR, which enables AR experiences directly in the browser.

Let's explore how AI recognizes faces in real-time and how AR comes into play.

MindAR employs an AI model to detect landmarks on faces from live webcam footage.

Landmarks refer to distinctive points like the tip of the nose or the centers of the eyes.

These landmarks act as anchor points, allowing AR objects to stay aligned with the face as it moves.

After tracking facial positions using landmarks, virtual garments like hats and sunglasses are applied to the face.

3D models follow these anchor points and move naturally with the face.

To display AR content in a browser, MindAR uses A-Frame.

A-Frame is a web framework for building 3D content using HTML, which MindAR uses to place 3D models based on tracked facial landmarks.

For more detailed information about MindAR and A-Frame, you can visit their official websites.

• MindAR Official Website

• A-Frame Official Website