Web-based database for facial expression analysis

被引:614
作者
Pantic, M [1 ]
Valstar, M [1 ]
Rademaker, R [1 ]
Maat, L [1 ]
机构
[1] Delft Univ Technol, EEMCS, Man Machine Interact Grp, Delft, Netherlands
来源
2005 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), VOLS 1 AND 2 | 2005年
关键词
D O I
10.1109/ICME.2005.1521424
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the last decade, the research topic of automatic analysis of facial expressions has become a central topic in machine vision research. Nonetheless, there is a glaring lack of a comprehensive, readily accessible reference set of face images that could be used as a basis for benchmarks for efforts in the field. This lack of easily accessible, suitable, common testing resource forms the major impediment to comparing and extending the issues concerned with automatic facial expression analysis. In this paper, we discuss a number of issues that make the problem of creating a benchmark racial expression database difficult. We then present the MMI Facial Expression Database. which includes more than 1500 samples of both static images and image sequences of faces in frontal and in profile view displaying various expressions of emotion, single and multiple facial muscle activation. It has been built as a web-based direct-manipulation application, allowing easy access and easy search of the available images. This database represents the most comprehensive reference set of images for studies on facial expression analysis to date.
引用
收藏
页码:317 / 320
页数:4
相关论文
共 17 条
[1]  
[Anonymous], AR
[2]  
[Anonymous], PIE
[3]   Classifying facial actions [J].
Donato, G ;
Bartlett, MS ;
Hager, JC ;
Ekman, P ;
Sejnowski, TJ .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1999, 21 (10) :974-989
[4]  
Ekman P., 2002, FACIAL ACTION CODING
[5]  
EKMAN P, 1978, FAICAL ACTION CODING
[6]  
EKMAN P, UNPUB EKMANHAGER FAC
[7]  
Kanade T., 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580), P46, DOI 10.1109/AFGR.2000.840611
[8]  
Keltner D., 2000, Handbook of emotions, Vsecond, P236
[9]   Temporal modeling of facial actions from face profile image sequences [J].
Pantic, M ;
Patras, I .
2004 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXP (ICME), VOLS 1-3, 2004, :49-52
[10]   Facial action recognition for facial expression analysis from static face images [J].
Pantic, M ;
Rothkrantz, LJM .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2004, 34 (03) :1449-1461