Facial analysis is one of the most important abilities used in our everyday lives. Humans use face analysis for many different tasks. They recognize other people mainly from their faces, identify them as young or old, men or women, Caucasian or Asian. We may also see from the face whether a person is happy or sad, tired or nervous, feels pain, is telling the truth or lying. Faces are very important in social communications between humans. Emotional faces communicate both the emotional state and behavioral intentions of a person. The mouth movements are an important cue for speech recognition in noisy conditions, and hearing-impaired people can even read from lips. The head pose and gaze direction provide information about the direction of attention. Faces can also provide hints about health. For example, a person with autism has difficulties to understand and express emotions.
Due to its great importance, facial image analysis has been a topic of intensive research in computer vision, image processing and related fields. Among its potential areas of application are natural human computer/robot interfaces, biometric identification, image and video retrieval, multimedia management, video surveillance, forensics, audio-visual speech recognition, and affect-sensitive systems for various applications.
A common goal for our research on different areas of face analysis is to develop methods for unconstrained conditions (“in the wild”), allowing changes in illumination, head pose, image quality, and background.
- Face recognition
- Face anti-spoofing (presentation attack detection)
- Facial expression recognition
- Micro-expression recognition and spotting
- Heart-rate monitoring from face videos
- Visual speech recognition and animation
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Last updated: 19.9.2016