Abstract
Face expression recognition is still a complex task, particularly due to the presence of head pose variations. Although face alignment approaches are becoming increasingly accurate for characterizing facial regions, it is important to consider the impact of these approaches when they are used for other related tasks such as head pose registration or facial expression recognition. In this paper, we compare the performance of recent face alignment approaches to highlight the most appropriate techniques for preserving facial geometry when correcting the head pose variation. Also, we highlight the most suitable techniques that locate facial landmarks in the presence of head pose variations and facial expressions.
Abstract (translated)
面部表情识别仍然是一项复杂的任务,特别是由于头部姿势的变化。虽然面部定位方法越来越准确地描述面部区域,但当这些方法用于其他相关任务(如头部姿势注册或面部表情识别)时,必须考虑这些方法的影响。在本文中,我们比较了最近的面部对齐方法的性能,以突出在纠正头部姿势变化时保留面部几何图形的最合适技术。此外,我们强调最适合的技术定位面部标志在存在头部姿势变化和面部表情。
URL
https://arxiv.org/abs/1905.10784