Proceedings Article10.1109/AFGR.2004.1301585
Authentic facial expression analysis
Nicu Sebe,Michael S. Lew,Ira Cohen,Yafei Sun,Theo Gevers,Thomas S. Huang +5 more
- 17 May 2004
- pp 517-522
TL;DR: This paper presents the effort in creating an authentic facial expression database based on spontaneous emotions derived from the environment, and test and compare a wide range of classifiers from the machine learning literature that can be used for facial expression classification.
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Abstract: It is argued that for the computer to be able to interact with humans, it needs to havve the communication skills o humans. One of these skills is the ability to understand the emotional state of the person. The most expressive way humans display emotions is through facial expressions. In most facial expression systems and databases, the emotion data was collected by asking the subjects to perform a series of facial expressions. However, these directed or deliberate facial action tasks typically differ in appearance and timing from the authentic facial expressions induced through events in the normal environment of the subject. In this paper, we present our effort in creating an authentic facial expression database based on spontaneous emotions derived from the environment. Furthermore, we test and compare a wide range of classifiers from the machine learning literature that can be used for facial expression classification.
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Citations
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
TL;DR: In this paper, the authors discuss human emotion perception from a psychological perspective, examine available approaches to solving the problem of machine understanding of human affective behavior, and discuss important issues like the collection and availability of training and test data.
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A 3D facial expression database for facial behavior research
Lijun Yin,Xiaozhou Wei,Yi Sun,Jun Wang,Matthew J. Rosato +4 more
- 10 Apr 2006
TL;DR: In this article, a 3D facial expression database is presented, which includes 2D facial textures from 100 subjects and 3D models from 2,500 models from 100 individuals. But the database is limited to 3D range data and cannot handle large pose variations.
Local Binary Patterns and Its Application to Facial Image Analysis: A Survey
Di Huang,Caifeng Shan,Mohsen Ardabilian,Yunhong Wang,Liming Chen +4 more
- 01 Nov 2011
TL;DR: As a typical application of the LBP approach, LBP-based facial image analysis is extensively reviewed, while its successful extensions, which deal with various tasks of facial imageAnalysis, are also highlighted.
A survey of affect recognition methods: audio, visual and spontaneous expressions
Zhihong Zeng,Maja Pantic,Glenn I. Roisman,Thomas S. Huang +3 more
- 12 Nov 2007
TL;DR: A survey of the available approaches to solving the problem of machine understanding of human affective behavior occurring in real-world settings can be found in this paper, where the authors discuss human emotion perception from a psychological perspective.
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A high-resolution 3D dynamic facial expression database
Lijun Yin,Xiaochen Chen,Yi Sun,T. Worm,Michael Reale +4 more
- 01 Sep 2008
TL;DR: This paper presents a newly created high-resolution 3D dynamic facial expression database, which is made available to the scientific research community and has been validated through the authors' facial expression recognition experiment using an HMM based 3D spatio-temporal facial descriptor.
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