Facial Expression Recognition: A Comparison Between Static and Dynamic Approaches

PABLO NEGRI; MARTA MEJAIL; FLORENCIA IGLESIAS; DANIEL ACEVEDO; MARÍA ELENA BUEMI

Talca

Conferencia; International Conference on Pattern Recognition Systems (ICPRS); 2016

IET

The identification of facial expressions with human emotions plays a key role in non-verbal human communication and has applications in several areas. In this work, we analyze two approaches for expression recognition. One of them is a static-based appearance method. In this approach, a binary-based descriptor, denominated Oriented Fast and Rotated BRIEF (ORB), is used on a single frame of a sequence of images to extract texture information, and classified with a Support Vector Machine. The other is a dynamic approach introducing a new simple descriptor based on the angles formed by the landmarks to capture the dynamic of the gesture on an image sequence. In this case the recognition is performed by a Conditional Random Field (CRF) classifier. The paper compares both methodologies,analyze their similarities and differences.