Optical Flow Techniques for Facial Expression Analysis -- a Practical Evaluation Study
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866911799358521344 |
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| author | Allaert, Benjamin Ward, Isaac Ronald Bilasco, Ioan Marius Djeraba, Chaabane Bennamoun, Mohammed |
| author_facet | Allaert, Benjamin Ward, Isaac Ronald Bilasco, Ioan Marius Djeraba, Chaabane Bennamoun, Mohammed |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1904_11592 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | Optical Flow Techniques for Facial Expression Analysis -- a Practical Evaluation Study Allaert, Benjamin Ward, Isaac Ronald Bilasco, Ioan Marius Djeraba, Chaabane Bennamoun, Mohammed Computer Vision and Pattern Recognition 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. |
| title | Optical Flow Techniques for Facial Expression Analysis -- a Practical Evaluation Study |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/1904.11592 |