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Investigating Macroexpressions and Microexpressions in Computer Graphics Animated Faces

机译:研究计算机图形动画面孔中的宏表达和微表达

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摘要

Due to varied personal, social, or even cultural situations, people sometimes conceal or mask their true emotions. These suppressed emotions can be expressed in a very subtle way by brief movements called microexpressions. We investigate human subjects’ perception of hidden emotions in virtual faces, inspired by recent psychological experiments. We created animations with virtual faces showing some facial expressions and inserted brief secondary expressions in some sequences, in order to try to convey a subtle second emotion in the character. Our evaluation methodology consists of two sets of experiments, with three different sets of questions. The first experiment verifies that the accuracy and concordance of the participant’s responses with synthetic faces matches the empirical results done with photos of real people in the paper by X.-b. Shen, Q. Wu, and X.-l. Fu, 2012, “Effects of the duration of expressions on the recognition of microexpressions,” Journal of Zhejiang University Science B, 13(3), 221–230. The second experiment verifies whether participants could perceive and identify primary and secondary emotions in virtual faces. The third experiment tries to evaluate the participant’s perception of realism, deceit, and valence of the emotions. Our results show that most of the participants recognized the foreground (macro) emotion and most of the time they perceived the presence of the second (micro) emotion in the animations, although they did not identify it correctly in some samples. This experiment exposes the benefits of conveying microexpressions in computer graphics characters, as they may visually enhance a character’s emotional depth through subliminal microexpression cues, and consequently increase the perceived social complexity and believability
机译:由于个人,社会甚至文化环境的差异,人们有时会掩饰或掩饰自己的真实情感。这些被抑制的情绪可以通过称为微表情的短暂动作以非常微妙的方式表达。我们调查了受最近心理实验启发的对象对虚拟面孔中隐藏情感的感知。我们创建了带有虚拟面孔的动画,这些虚拟面孔显示了一些面部表情,并按一定顺序插入了简短的次要表情,以便尝试在角色中传达微妙的第二情感。我们的评估方法包括两组实验,以及三组不同的问题。第一个实验验证了参与者用合成人脸做出的回应的准确性和一致性,与X.-b对论文中真实人物的照片所做的实验结果相符。沉庆武和X.-l. Fu,2012,“表达持续时间对微表达识别的影响”,浙江大学学报:自然科学版,13(3),221–230。第二个实验验证参与者是否可以感知和识别虚拟面孔中的主要和次要情绪。第三个实验试图评估参与者对现实主义,欺骗和情感效价的感知。我们的结果表明,尽管他们在某些样本中没有正确识别出第二(微)种情感,但大多数参与者都意识到了前景(宏观)情感,并且大多数时候他们都意识到了第二(微)种情感的存在。该实验揭示了在计算机图形角色中传达微表情的好处,因为它们可能通过潜意识的微表情提示在视觉上增强角色的情感深度,并因此增加了感知的社会复杂性和可信度

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