4D Sensing System for Home-based Facial Palsy Therapy (2016 - 2018)


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Overview


The project is funded by the Engineering and Physical Sciences Research Council (EPSRC) and lasts for 2 years. This project will investigate 4D techniques and a computational model for home-based therapy using a depth sensor. This framework envisions developing easy to use facial palsy therapy technologies, which can provide real-time feedback assessing treatment responses of patients. The methods developed for capturing refined 4D geometric models from depth data will open up many new research avenues for real-time application. It will enable 4D facial movement optimisation with the actual geometric data of the underlying facial features of the person.


Publication

Wang, Yiming, Hui Yu, Honghai Liu, Junyu Dong, and Muwei Jian. "Cascade support vector regression-based facial expresssion-aware face frontalization." In 24th IEEE International Conference on Image Processing. IEEE, 2017.
Paper (pdf)
Wang, Yiming, Hui Yu, Junyu Dong, Brett Stevens, and Honghai Liu. “Facial expression-aware face frontalization.” In Asian Conference on Computer Vision, pp. 375-388. Springer, Cham, 2016.
Paper (pdf)

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Zhang Shu, Junyu Dong, Hui Yu. "Automatic 3D face recovery from a single frame of a RGB-D sensor."In BMVA. British Machine Vision Association. 2017.
Paper (pdf)

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Visual Computing Group @ University of Portsmouth