Results 231 to 240 of about 4,932,704 (278)

Optimizing Class Imbalance in Facial Expression Recognition Using Dynamic Intra-Class Clustering. [PDF]

Biomimetics (Basel)
Li Q, Fu K, Liu J, Li Y, Ren Q, Xu K, Fu J, Liu N, Yuan Y.   +8 more
europepmc   +1 more source

Neural network-based ensemble approach for multi-view facial expression recognition. [PDF]

PLoS One
Altaf MF, Iqbal MW, Ali G, Shinan K, Alhazmi HE, Alanazi F, Ashraf MU.   +6 more
europepmc   +1 more source

Ada-DF++: A Dual-Branch Adaptive Facial Expression Recognition Method Integrating Global-Aware Spatial Attention and Squeeze-and-Excitation Attention. [PDF]

Sensors (Basel)
Li ZR, Deng ZJ, Li XY, Ke WD, Yan SJ, Zhang JD, Liu C.   +6 more
europepmc   +1 more source

Facial expression recognition using visible and IR by early fusion of deep learning with attention mechanism. [PDF]

PeerJ Comput Sci
Naseem MT, Lee CS, Shahzad T, Khan MA, Abu-Mahfouz AM, Ouahada K.   +5 more
europepmc   +1 more source

CAGNet: A Network Combining Multiscale Feature Aggregation and Attention Mechanisms for Intelligent Facial Expression Recognition in Human-Robot Interaction. [PDF]

Sensors (Basel)
Zhang D, Ma W, Shen Z, Ma Q.
europepmc   +1 more source

Enhancing Facial Expression Recognition through Light Field Cameras. [PDF]

Sensors (Basel)
Oucherif SD, Nawaf MM, Boï JM, Nicod L, Mallor E, Dubuisson S, Merad D.   +6 more
europepmc   +1 more source

Facial Expression Recognition Using Facial Graph

, 2015
Automatic analysis of human facial expression is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we developed a new method for automatic facial expression recognition based on verifying movable ...
Sina Mohseni, Niloofar Zarei, Ehsan Miandji, Gholamreza Ardeshir   +3 more
openaire   +2 more sources

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FaceCaps for facial expression recognition

Computer Animation and Virtual Worlds, 2021
AbstractFacial expression recognition (FER) is a significant research task in the computer vision field. In this paper, we present a novel network FaceCaps for facial expression recognition with the following novel characteristics: an embedding structure based on a Capsule network which encodes relative spatial relationships between features ...
Fangyu Wu 0001, Chaoyi Pang, Bailing Zhang   +2 more
openaire   +2 more sources

Facial expression recognition

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005
The paper aims at recognizing the various human facial expressions. Every countenance is marked by changes in the feature points of the face. These feature points are located in various regions of the face. There are two phases in the facial expression recognition technique described here.
P.K. Manglik, U. Misra, null Prashant, H.B. Maringanti   +3 more
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Facial Expression Recognition

2015 Annual IEEE India Conference (INDICON), 2015
Facial expression recognition, due to its wide research areas become active research topic. This paper presents comparative analysis of automatic Facial Expression Recognition by compensating effect of age on the recognition process by Weighted Least Square filtering. System uses Gabor filter and Log Gabor filter to extract facial features.
Ketki R. Kulkarni, Sahebrao B. Bagal
openaire   +1 more source