CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation
Institute of Psychology, Chinese Academy of Sciences · University of Chinese Academy of Sciences · +2 more institutions
Abstract
A robust automatic micro-expression recognition system would have broad applications in national safety, police interrogation, and clinical diagnosis. Developing such a system requires high quality databases with sufficient training samples which are currently not available. We reviewed the previously developed micro-expression databases and built an improved one (CASME II), with higher temporal resolution (200 fps) and spatial resolution (about 280×340 pixels on facial area). We elicited participants' facial expressions in a well-controlled laboratory environment and proper illumination (such as removing light flickering). Among nearly 3000 facial movements, 247 micro-expressions were selected for the…
Citation impact
- FWCI
- 28.68
- Percentile
- 100%
- References
- 27
Authors
7Topics & keywords
- Support vector machine
- Artificial intelligence
- Computer science
- Facial expression
- Pattern recognition (psychology)
- Classifier (UML)
- Baseline (sea)
- Facial expression recognition