Deep Learning for Micro-Expression Recognition
Micro-expressions (MEs) are involuntary facial movements revealing people’s hidden feelings in high-stake situations and have practical importance in various fields. Early methods […]
Cross-Database Micro-Expression Recognition Based on a Dual-Stream Convolutional Neural Network
Cross-database micro-expression recognition (CDMER) is a difficult task, where the target (testing) and source (training) samples come from different micro-expression (ME) databases, […]
Revealing the Invisible With Model and Data Shrinking for Composite-Database Micro-Expression Recognition
Composite-database micro-expression recognition is attracting increasing attention as it is more practical for real-world applications. Though the composite database provides more sample […]
Characterizing subtle facial movements via Riemannian manifold
Characterizing subtle facial movements from videos is one of the most intensive topics in computer vision research. It is, however, challenging, since […]
Recognizing Spontaneous Micro-Expression Using a Three-Stream Convolutional Neural Network
Micro-expression recognition (MER) has attracted much attention with various practical applications, particularly in clinical diagnosis and interrogations. In this paper, we propose […]
Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition
Facial Micro-Expressions (MEs) are spontaneous, involuntary facial movements when a person experiences an emotion but deliberately or unconsciously attempts to conceal his […]
Unsupervised Cross-Database Micro-Expression Recognition Using Target-Adapted Least-Squares Regression
Over the past several years, the research of micro-expression recognition (MER) has become an active topic in affective computing and computer vision […]
Cross-Database Micro-Expression Recognition
Cross-database micro-expression recognition (CDMER) is one of recently emerging and interesting problems in micro-expression analysis. CDMER is more challenging than the conventional […]
Micro-expression Recognition under Low-resolution Cases
Micro-expression is an essential non-verbal behavior that can faithfully express the human’s hidden emotions. It has a wide range of applications in […]
Spontaneous Facial Micro-expression Recognition via Deep Convolutional Network
The automatic recognition of spontaneous facial micro-expressions becomes prevalent as it reveals the actual emotion of humans. However, handcrafted features employed for […]