2019年-The implication of spatial temporal changes on facial micro-expression analysis || 论文传送门
论文出发点
当前微表情识别的SOTA方法准确率都还不如人意,很难落地实际应用。这篇论文提供一种思路,让研究者考虑不同数据集的不同参数设置。由于不同微表情数据集的规格通常不一致,体现在如resolution, frame rates, 这篇论文旨在探讨微表情识别中rame rate, resolution及 feature descriptors对于识别效果的影响。
The accuracy of many state-of-the-art methods is still too low to be deployed effectively in a real-world environment. We provide important insights for researchers in this field to consider the settings when conducting new experiment in the future
Due to the inconsistency of facial micro-expression dataset specifications, such as different resolutions and frame rates, we propose to experiment the effects of these variations in micro-expression recognition