jeelizFaceFilter and jeelizWeboji
These are ecosystem siblings—jeelizFaceFilter provides the foundational face detection and tracking infrastructure, while jeelizWeboji builds on top of it to add expression detection and animated emoticon rendering as a specialized application layer.
About jeelizFaceFilter
jeeliz/jeelizFaceFilter
🎭 Lightweight WebGL & JavaScript library for real-time multi-face detection, tracking and augmented-reality face filters. Supports rotation, mouth-opening and integrates with Three.js, Babylon.js, Canvas2D and CSS3D
This tool helps you create real-time augmented reality experiences directly in a web browser. It takes a live camera video feed, detects faces, and then lets you overlay virtual 3D objects or effects onto those faces, like masks or makeup. It's for web developers and designers who want to build interactive face filters for marketing campaigns, virtual try-on experiences, or social media applications.
About jeelizWeboji
jeeliz/jeelizWeboji
Real time WebGL and JavaScript library for face tracking, expression detection and animated emoticons in the browser, with both SVG and Three.js demos included 😄
This tool helps web developers integrate real-time facial expression and movement detection into web applications. It takes live video feed from a user's camera and outputs data on face position and 11 distinct facial expressions, allowing for animated emoticons or interactive experiences. Web developers can use this to create engaging, camera-driven features for their websites.
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