Deep CNN and Deep GAN in Computational Visual Perception‐Driven Image Analysis

R Nandhini Abirami, PM Durai Raj Vincent… - …, 2021 - Wiley Online Library
Computational visual perception, also known as computer vision, is a field of artificial
intelligence that enables computers to process digital images and videos in a similar way as …

An overview of facial micro-expression analysis: Data, methodology and challenge

HX Xie, L Lo, HH Shuai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Facial micro-expressions indicate brief and subtle facial movements that appear during
emotional communication. In comparison to macro-expressions, micro-expressions are …

Real-time hand gesture spotting and recognition using RGB-D camera and 3D convolutional neural network

DS Tran, NH Ho, HJ Yang, ET Baek, SH Kim, G Lee - Applied Sciences, 2020 - mdpi.com
Using hand gestures is a natural method of interaction between humans and computers. We
use gestures to express meaning and thoughts in our everyday conversations. Gesture …

A survey on 3D hand pose estimation: Cameras, methods, and datasets

R Li, Z Liu, J Tan - Pattern Recognition, 2019 - Elsevier
Abstract 3D Hand pose estimation has received an increasing amount of attention,
especially since consumer depth cameras came onto the market in 2010. Although …

DeepDemosaicking: Adaptive image demosaicking via multiple deep fully convolutional networks

DS Tan, WY Chen, KL Hua - IEEE Transactions on Image …, 2018 - ieeexplore.ieee.org
Convolutional neural networks are currently the state-of-the-art solution for a wide range of
image processing tasks. Their deep architecture extracts low-and high-level features from …

Real-time virtual mouse system using RGB-D images and fingertip detection

DS Tran, NH Ho, HJ Yang, SH Kim, GS Lee - Multimedia Tools and …, 2021 - Springer
A real-time fingertip-gesture-based interface is still challenging for human–computer
interactions, due to sensor noise, changing light levels, and the complexity of tracking a …

[HTML][HTML] Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks

G Amprimo, G Masi, G Pettiti, G Olmo, L Priano… - … Signal Processing and …, 2024 - Elsevier
Accurate 3D tracking of hand and fingers movements poses significant challenges in
computer vision. The potential applications span across multiple domains, including human …

Dynamic hand gesture recognition using improved spatio-temporal graph convolutional network

JH Song, K Kong, SJ Kang - … on Circuits and Systems for Video …, 2022 - ieeexplore.ieee.org
Hand gesture recognition is essential to human-computer interaction as the most natural
way of communicating. Furthermore, with the development of 3D hand pose estimation …

Computer vision‐enabled character recognition of hand gestures for patients with hearing and speaking disability

S Juneja, A Juneja, G Dhiman, S Jain… - Mobile Information …, 2021 - Wiley Online Library
Hand gesture recognition is one of the most sought technologies in the field of machine
learning and computer vision. There has been an unprecedented demand for applications …

Deep learning assisted neonatal cry classification via support vector machine models

PM Vincent, K Srinivasan, CY Chang - Frontiers in Public Health, 2021 - frontiersin.org
Neonatal infants communicate with us through cries. The infant cry signals have distinct
patterns depending on the purpose of the cries. Preprocessing, feature extraction, and …