jeelizFaceFilter

Why we included this project

Building face filters that run entirely in the browser gets a lot simpler with this library, because it handles camera capture and face tracking for you and keeps the heavy lifting client-side. It works from the WebRTC feed, detects and tracks faces in real time, and returns plain data such as position, scale, rotation, and mouth opening, so you can feed that into whatever rendering stack you already use. The project ships helpers and demos for Three.js, Babylon.js, Canvas2D, and CSS3D, and it tracks multiple faces at once, which is handy for social or collaborative AR features. If you just want to test a web AR idea quickly, the included examples give you a working starting point in a single session.