OpenFace 3.0: A Lightweight Multitask System for Comprehensive Facial Behavior Analysis

TL;DR

OpenFace 3.0 is a lightweight, multi-task facial analysis toolkit that offers real-time performance, high accuracy, and ease of use across diverse conditions, advancing automatic facial behavior understanding.

Contribution

It introduces a unified multi-task model for facial analysis tasks, improving efficiency and performance over existing systems.

Findings

Enhanced prediction accuracy across tasks

Faster inference and lower memory usage

Real-time operation without specialized hardware

Abstract

In recent years, there has been increasing interest in automatic facial behavior analysis systems from computing communities such as vision, multimodal interaction, robotics, and affective computing. Building upon the widespread utility of prior open-source facial analysis systems, we introduce OpenFace 3.0, an open-source toolkit capable of facial landmark detection, facial action unit detection, eye-gaze estimation, and facial emotion recognition. OpenFace 3.0 contributes a lightweight unified model for facial analysis, trained with a multi-task architecture across diverse populations, head poses, lighting conditions, video resolutions, and facial analysis tasks. By leveraging the benefits of parameter sharing through a unified model and training paradigm, OpenFace 3.0 exhibits improvements in prediction performance, inference speed, and memory efficiency over similar toolkits and rivals state-of-the-art models. OpenFace 3.0 can be installed and run with a single line of code and operate in real-time without specialized hardware. OpenFace 3.0 code for training models and running the system is freely available for research purposes and supports contributions from the community.