Micro-attention for micro-expression recognition
نویسندگان
چکیده
منابع مشابه
Objective Classes for Micro-Facial Expression Recognition
Micro-expressions are brief spontaneous facial expressions that appear on a face when a person conceals an emotion, making them different to normal facial expressions in subtlety and duration. Currently, emotion classes within the CASME II dataset are based on Action Units and self-reports, creating conflicts during machine learning training. We will show that classifying expressions using Acti...
متن کاملFor micro-expression recognition: Database and suggestions
Micro-expression is gaining more attention in both the scientific field and the mass media. It represents genuine emotions that people try to conceal, thus making it a promising cue for lie detection. Since micro-expressions are considered almost imperceptible to naked eyes, researchers have sought to automatically detect and recognize these fleeting facial expressions to help people make use o...
متن کاملEmotional Context Influences Micro-Expression Recognition
Micro-expressions are often embedded in a flow of expressions including both neutral and other facial expressions. However, it remains unclear whether the types of facial expressions appearing before and after the micro-expression, i.e., the emotional context, influence micro-expression recognition. To address this question, the present study used a modified METT (Micro-Expression Training Tool...
متن کاملMulti-task mid-level feature learning for micro-expression recognition
Due to the short duration and low intensity of micro-expressions, the recognition of micro-expression is still a challenging problem. In this paper, we develop a novel multi-task mid-level feature learning method to enhance the discrimination ability of extracted low-level features by learning a set of class-specific feature mappings, which would be used for generating our mid-level feature rep...
متن کاملPreprocessing and Descriptor Features for Facial Micro-Expression Recognition
Facial micro-expressions contain signi cant information about how people feel, even when they are attempting to conceal their emotions. Previously, very little research has been done to detect and recognize micro-expressions using computer vision methods. In this paper, detection and classi cation of microexpressions from the Spontaneous Micro-Expression database were implemented, following pre...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Neurocomputing
سال: 2020
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2020.06.005