论文标题
使用面部动作单元的随机森林回归以连续影响
Random Forest Regression for continuous affect using Facial Action Units
论文作者
论文摘要
在本文中，我们描述了我们对第三次研讨会的唤醒和价值轨道的方法，以及关于野外行为分析的竞争（ABAW）。我们使用OpenFace提取面部特征，并用它们来训练多重输出随机森林回归剂。我们的方法与基线方法相当。
In this paper we describe our approach to the arousal and valence track of the 3rd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW). We extracted facial features using OpenFace and used them to train a multiple output random forest regressor. Our approach performed comparable to the baseline approach.
