Optical Flow Techniques for Facial Expression Analysis -- a Practical Evaluation Study
Optical flow techniques are becoming increasingly performant and robust when estimating motion in a scene, but their performance has yet to be proven in the area of facial expression recognition. In this work, a variety of optical flow approaches are evaluated across multiple facial expression datasets, so as to provide a consistent performance evaluation. The aim of this work is not to propose a new expression recognition technique, but to understand better the adequacy of existing state-of-the art optical flow for encoding facial motion in the context of facial expression recognition. Our evaluations highlight the fact that motion approximation methods used to overcome motion discontinuities have a significant impact when optical flows are used to characterize facial expressions.
Code (0)
등록된 구현이 없습니다.
Tasks
Data AugmentationFacial Expression RecognitionFacial Expression Recognition (FER)Optical Flow EstimationSimilar Papers 제목 키워드 기반
Self-Supervised Approach for Facial Movement Based Optical Flow
Computing optical flow is a fundamental problem in computer vision. However, deep learning-based optical flow techniques do not perform well for non-rigid movements such as those found in faces, primarily due to lack of …
Micro Expression RecognitionMicro-Expression RecognitionOptical Flow EstimationFacialFlowNet: Advancing Facial Optical Flow Estimation with a Diverse Dataset and a Decomposed Model
Facial movements play a crucial role in conveying altitude and intentions, and facial optical flow provides a dynamic and detailed representation of it. However, the scarcity of datasets and a modern baseline hinders the…
DecoderOptical Flow EstimationSRFlow: A Dataset and Regularization Model for High-Resolution Facial Optical Flow via Splatting Rasterization
Facial optical flow supports a wide range of tasks in facial motion analysis. However, the lack of high-resolution facial optical flow datasets has hindered progress in this area. In this paper, we introduce Splatting Ra…
Micro-Expression RecognitionOptical Flow EstimationA Novel Combined Optical Flow Approach for Comprehensive Micro-Expression Recognition
Facial micro-expressions are brief, involuntary facial movements that reveal hidden emotions. Most Micro-Expression Recognition (MER) methods that rely on optical flow typically focus on the onset-to-apex phase, neglecti…
Micro-Expression RecognitionThe Analysis of Facial Feature Deformation using Optical Flow Algorithm
Facial features deformed according to the intended facial expression. Specific facial features are associated with specific facial expression, i.e. happy means the deformation of mouth. This paper presents the study of f…
Optical Flow Estimation