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二维图像生成的三维面部模型在面瘫康复中的作用。

Role for 2D image generated 3D face models in the rehabilitation of facial palsy.

作者信息

Storey Gary, Jiang Richard, Bouridane Ahmed

机构信息

Department of Computer and Information Sciences, Northumbria University, Newcastle Upon-Tyne NE21XE, UK.

出版信息

Healthc Technol Lett. 2017 Aug 10;4(4):145-148. doi: 10.1049/htl.2017.0023. eCollection 2017 Aug.

DOI:10.1049/htl.2017.0023
PMID:28868153
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5569939/
Abstract

The outcome for patients diagnosed with facial palsy has been shown to be linked to rehabilitation. Dense 3D morphable models have been shown within the computer vision to create accurate representations of human faces even from single 2D images. This has the potential to provide feedback to both the patient and medical expert dealing with the rehabilitation plan. It is proposed that a framework for the creation and measuring of patient facial movement consisting of a hybrid 2D facial landmark fitting technique which shows better accuracy in testing than current methods and 3D model fitting.

摘要

已证明,被诊断为面瘫的患者的治疗结果与康复有关。在计算机视觉领域,密集三维可变形模型已被证明即使从单张二维图像也能创建出准确的人脸表示。这有可能为患者和处理康复计划的医学专家提供反馈。有人提出了一个用于创建和测量患者面部运动的框架,该框架由一种混合二维面部标志点拟合技术和三维模型拟合组成,这种混合技术在测试中显示出比当前方法更高的准确性。

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本文引用的文献

1
Kabat rehabilitation for Bell's palsy in the elderly.老年贝尔面瘫的卡巴特康复疗法
Acta Otolaryngol. 2017 Jun;137(6):646-650. doi: 10.1080/00016489.2016.1262553. Epub 2016 Dec 14.
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Facial Nerve Rehabilitation.面神经康复
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[Facial palsy in children].[儿童面神经麻痹]
Ann Chir Plast Esthet. 2016 Oct;61(5):513-518. doi: 10.1016/j.anplas.2016.07.013. Epub 2016 Sep 13.
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Clinician-Graded Electronic Facial Paralysis Assessment: The eFACE.临床医生分级电子面瘫评估:eFACE
Plast Reconstr Surg. 2015 Aug;136(2):223e-230e. doi: 10.1097/PRS.0000000000001447.
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Automatic recognition of facial movement for paralyzed face.瘫痪面部的面部运动自动识别。
Biomed Mater Eng. 2014;24(6):2751-60. doi: 10.3233/BME-141093.
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FaceWarehouse: a 3D facial expression database for visual computing.面部数据库:一个用于视觉计算的3D面部表情数据库。
IEEE Trans Vis Comput Graph. 2014 Mar;20(3):413-25. doi: 10.1109/TVCG.2013.249.
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Geometric feature-based facial expression recognition in image sequences using multi-class AdaBoost and support vector machines.基于几何特征的多类 AdaBoost 和支持向量机的图像序列表情识别。
Sensors (Basel). 2013 Jun 14;13(6):7714-34. doi: 10.3390/s130607714.
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Comprehensive facial rehabilitation improves function in people with facial paralysis: a 5-year experience at the Massachusetts Eye and Ear Infirmary.全面的面部康复可改善面瘫患者的功能:马萨诸塞州眼耳医院的 5 年经验。
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