Results 261 to 270 of about 51,113 (306)

Effect of observer's cultural background and masking condition of target face on facial expression recognition for machine-learning dataset. [PDF]

PLoS One
Nagata M, Okajima K.
europepmc   +1 more source

Abnormal ambiguous facial expression recognition in Chinese patients with schizophrenia. [PDF]

BMC Psychiatry
Lyu X, Chi Y, Wang Z, Shao X, Zhang G, Li C, Dong C, Wang X, Li X, Zhu C, Xu X, Du X.   +11 more
europepmc   +1 more source

Idiosyncratic fixation patterns generalize across dynamic and static facial expression recognition. [PDF]

Sci Rep
Paparelli A, Sokhn N, Stacchi L, Coutrot A, Richoz AR, Caldara R.   +5 more
europepmc   +1 more source

TriCAFFNet: A Tri-Cross-Attention Transformer with a Multi-Feature Fusion Network for Facial Expression Recognition. [PDF]

Sensors (Basel)
Tian Y, Wang Z, Chen D, Yao H.
europepmc   +1 more source

VT-3DCapsNet: Visual tempos 3D-Capsule network for video-based facial expression recognition. [PDF]

PLoS One
Li Z, Liu J, Wang H, Zhang X, Wu Z, Han B.   +5 more
europepmc   +1 more source

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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
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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

SSRN Electronic Journal, 2021
This paper aims to incorporate facial expression recognition needs and applications. The expression of the face is the mode of non-verbal communications between the verbals and nonverbs.. It reflects or fills a human perspective and its mental state. A major research initiative was conducted over two decades to develop human computer interaction.
Chandra Bhushan Singh, Babu Sarkar, Pushpendra Yadav   +2 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
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4D facial expression recognition

2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011
In this paper, we focus on discrete expression classification using dynamic 3D sequences (4D data) recording the facial movements. A robust approach for registering 4D data is proposed and a variant of local binary patterns on three orthogonal planes is used for feature extraction.
Tianhong Fang, Xi Zhao 0001, Shishir K. Shah, Ioannis A. Kakadiaris   +3 more
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