BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database

被引:443
|
作者
Zhang, Xing [1 ]
Yin, Lijun [1 ]
Cohn, Jeffrey F. [2 ]
Canavan, Shaun [1 ]
Reale, Michael [1 ]
Horowitz, Andy [1 ]
Liu, Peng [1 ]
Girard, Jeffrey M. [2 ]
机构
[1] SUNY Binghamton, Binghamton, NY 13902 USA
[2] Univ Pittsburgh, Pittsburgh, PA 15260 USA
基金
美国国家科学基金会;
关键词
3D facial expression; FACS; Spontaneous expression; Dynamic facial expression database; RECOGNITION; PAIN; COLLECTION;
D O I
10.1016/j.imavis.2014.06.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Facial expression is central to human experience. Its efficiency and valid measurement are challenges that automated facial image analysis seeks to address. Most publically available databases are limited to 2D static images or video of posed facial behavior. Because posed and un-posed (aka "spontaneous") facial expressions differ along several dimensions including complexity and timing, well-annotated video of un-posed facial behavior is needed. Moreover, because the face is a three-dimensional deformable object, 2D video may be insufficient, and therefore 3D video archives are required. We present a newly developed 3D video database of spontaneous facial expressions in a diverse group of young adults. Well-validated emotion inductions were used to elicit expressions of emotion and paralinguistic communication. Frame-level ground-truth for facial actions was obtained using the Facial Action Coding System. Facial features were tracked in both 2D and 3D domains. To the best of our knowledge, this new database is the first of its kind for the public. The work promotes the exploration of 3D spatiotemporal features in subtle facial expression, better understanding of the relation between pose and motion dynamics in facial action units, and deeper understanding of naturally occurring facial action. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:692 / 706
页数:15
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