On facial expression recognition benchmarks
Facial expression is an important form of nonverbal communication, as it is noted that 55%
of what humans communicate is expressed in facial expressions. There are several …
of what humans communicate is expressed in facial expressions. There are several …
Deep neural network approach for pose, illumination, and occlusion invariant driver emotion detection
Monitoring drivers' emotions is the key aspect of designing advanced driver assistance
systems (ADAS) in intelligent vehicles. To ensure safety and track the possibility of vehicles' …
systems (ADAS) in intelligent vehicles. To ensure safety and track the possibility of vehicles' …
Facial Expression Classifier Using Better Technique: FisherFace Algorithm
N Hegde, S Preetha, S Bhagwat - … International Conference on …, 2018 - ieeexplore.ieee.org
Facial recognition is one of the most secure modes of authorization which uses samples of
photographs or videos to authorize a person's identity. Facial recognition has its own …
photographs or videos to authorize a person's identity. Facial recognition has its own …
New Optimization Technique to Extract Facial Features.
M Fachrurrozi, A Wijaya… - … International Journal of …, 2018 - search.ebscohost.com
The improved harmony search algorithm (IHSA), harmony search algorithm (HSA) and
genetic algorithm (GA) are applied to extract facial features based on edges in the horizontal …
genetic algorithm (GA) are applied to extract facial features based on edges in the horizontal …
Facial expression recognition based on local double binary mapped pattern
C Yang, M Hu, Y Zheng, X Wang, Y Gao… - Advances in Multimedia …, 2018 - Springer
Local feature descriptors play an important role in facial expression recognition. Local
Binary Pattern (LBP) only considers the signal information of the difference between the gray …
Binary Pattern (LBP) only considers the signal information of the difference between the gray …
MEDNET–an approach to facial micro-emotion recognition using pixel binning and local Binary pattern-convolutional neural network
TA Araf - 2023 - dspace.bracu.ac.bd
Facial-Expression recognition is a very intriguing field of research, due to the complexity in
its approach and applicability of widely available databases. However, Micro-expression …
its approach and applicability of widely available databases. However, Micro-expression …
Evaluating the Performance of Various Types of Neural Network by Varying Number of Epochs for Identifying Human Emotion
R Sofia, D Sivakumar - Computational Vision and Bio-Inspired Computing …, 2020 - Springer
Epochs represents the number of times a network gets trained with a particular database. In
this scenario, when we go for more number of epochs there is a possibility that neural …
this scenario, when we go for more number of epochs there is a possibility that neural …
[PDF][PDF] Automatic Analysis and Recognition of Facial Expressions Invariant to Illumination
ZH Shah - 2018 - gtusitecirculars.s3.amazonaws.com
Humans can communicate with each other in two ways, auditory and visual. The major
modalities of these communications are: speech, vocal intonation, facial expressions and …
modalities of these communications are: speech, vocal intonation, facial expressions and …
[PDF][PDF] New Optimization Technique to Extract Facial
A Wijaya, MN Rachmatullah - Coordinates - iaeng.org
The improved harmony search algorithm (IHSA), harmony search algorithm (HSA) and
genetic algorithm (GA) are applied to extract facial features based on edges in the horizontal …
genetic algorithm (GA) are applied to extract facial features based on edges in the horizontal …
Research on Monitoring Methods for Electricity Hall Staff Based on Autonomous Updating and Semi-supervising Model
Y Tang, Z Qiao, R Zou, X Qiao, C Liu… - Data Science: 4th …, 2018 - Springer
With the continuous improvement of the concept of grid marketing and service awareness,
Whether the electricity hall staff is on the job has become the basic guarantee for monitoring …
Whether the electricity hall staff is on the job has become the basic guarantee for monitoring …