The current challenges of automatic recognition of facial expressions: A systematic review

A Masson, G Cazenave, J Trombini… - AI …, 2020 - content.iospress.com
In recent years, due to its great economic and social potential, the recognition of facial
expressions linked to emotions has become one of the most flourishing applications in the …

Surface Defect Recognition of Solar Panel Based on Percolation-Based Image Processing and Serre Standard Model

B Xia, S Li, N Li, H Li, X Tian - IEEE Access, 2023 - ieeexplore.ieee.org
During the production process of solar panels, it is inevitable to have some defects, such as
cracks on the surface of solar panels due to extrusion or damage due to quality issues. This …

Robust affect analysis using committee of deep convolutional neural networks

NS Russel, A Selvaraj - Neural Computing and Applications, 2022 - Springer
Human emotion has attracted researcher's attention as it finds potential applications in
identifying consumer's mood and interest towards their product, assessments of learner …

Deep Multimodal Fusion of Visual and Auditory Features for Robust Material Recognition

Y Shi, HR Ong, S Yang, Y Fan - INTERNATIONAL JOURNAL OF …, 2024 - univagora.ro
This paper presents a deep neural network incorporating visual and auditory data fusion to
enhance material recognition performance. Traditional recognition techniques relying on …

Novel patch selection based on object detection in HMAX for natural image classification

M Akbarpour, M Mandal, MH Kamangar - Signal, Image and Video …, 2022 - Springer
The human visual system (HVS) can effectively recognize objects in complex natural scenes
with high speed and accuracy. Many models have been proposed based on HVS among …