首页> 外文期刊>Clinical anatomy: official journal of the American Association of Clinical Anatomists & the British Association of Clinical Anatomists >Quantitative anatomical analysis of facial expression using a 3D motion capture system: Application to cosmetic surgery and facial recognition technology
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Quantitative anatomical analysis of facial expression using a 3D motion capture system: Application to cosmetic surgery and facial recognition technology

机译:使用3D运动捕捉系统对面部表情进行定量解剖分析:在整容手术和面部识别技术中的应用

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The topography of the facial muscles differs between males and females and among individuals of the same gender. To explain the unique expressions that people can make, it is important to define the shapes of the muscle, their associations with the skin, and their relative functions. Three-dimensional (3D) motion-capture analysis, often used to study facial expression, was used in this study to identify characteristic skin movements in males and females when they made six representative basic expressions. The movements of 44 reflective markers (RMs) positioned on anatomical landmarks were measured. Their mean displacement was large in males [ranging from 14.31 mm (fear) to 41.15 mm (anger)], and 3.35-4.76 mm smaller in females [ranging from 9.55 mm (fear) to 37.80 mm (anger)]. The percentages of RMs involved in the ten highest mean maximum displacement values in making at least one expression were 47.6% in males and 61.9% in females. The movements of the RMs were larger in males than females but were more limited. Expanding our understanding of facial expression requires morphological studies of facial muscles and studies of related complex functionality. Conducting these together with quantitative analyses, as in the present study, will yield data valuable for medicine, dentistry, and engineering, for example, for surgical operations on facial regions, software for predicting changes in facial features and expressions after corrective surgery, and the development of face-mimicking robots. Clin. Anat. 28:735-744, 2015. (c) 2015 Wiley Periodicals, Inc.
机译:男性和女性之间以及相同性别的个体之间,面部肌肉的地形都不同。为了解释人们可以做出的独特表达,重要的是定义肌肉的形状,它们与皮肤的关联以及它们的相对功能。在这项研究中,通常用于研究面部表情的三维(3D)运动捕捉分析用于识别男性和女性做出六种代表性基本表情时的特征性皮肤运动。测量了位于解剖界标上的44个反射标记(RM)的运动。它们的平均位移在雄性中较大(从14.31 mm(恐惧)至41.15 mm(愤怒)),在雌性中较小(3.35 mm(恐惧)至37.80 mm(愤怒))。在做出至少一种表达时,参与十个最高平均最大位移值的RM的比例在男性中为47.6%,在女性中为61.9%。 RM的运动在雄性中比雌性大,但受限制更大。扩展我们对面部表情的理解需要对面部肌肉进行形态学研究以及对相关复杂功能的研究。如本研究中所述,将这些与定量分析一起进行,将产生对医学,牙科和工程学有价值的数据,例如,对于面部区域的手术操作,预测矫正手术后面部特征和表情变化的软件,以及模仿面部机器人的开发。临床阿纳特28:735-744,2015.(c)2015威利期刊公司

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