High speed and accuracy of animation 3D pose recognition based on an improved deep convolution neural network

W Ding, W Li - Applied Sciences, 2023 - mdpi.com
Pose recognition in character animations is an important avenue of research in computer
graphics. However, the current use of traditional artificial intelligence algorithms to recognize …

A survey on yogic posture recognition

AK Rajendran, SC Sethuraman - IEEE Access, 2023 - ieeexplore.ieee.org
Yoga has been a great form of physical activity and one of the promising applications in
personal health care. Several studies prove that yoga is used as one of the physical …

Multi-Stream Deep Convolution Neural Network With Ensemble Learning for Facial Micro-Expression Recognition

G Perveen, SF Ali, J Ahmad, S Shahab, M Adnan… - IEEE …, 2023 - ieeexplore.ieee.org
Micro-expression recognition has gained much attention in research communities. Among
its proposed solutions, deep learning approaches have shown promising results over the …

Do as I Do: Pose Guided Human Motion Copy

S Wu, Z Liu, B Zhang, R Zimmermann… - … on Dependable and …, 2024 - ieeexplore.ieee.org
Human motion copy is an intriguing yet challenging task in artificial intelligence and
computer vision, which strives to generate a fake video of a target person performing the …

Stable and invertible invariants description for gray-level images based on Radon transform

YA Khouya, MA Oussous, A Jakimi, F Ghorbel - The Visual Computer, 2024 - Springer
In a large number of applications, different types of descriptors have been implemented to
identify and recognize textured objects in grayscale images. Their classification must be …

[PDF][PDF] Radon CLF: A Novel Approach for Skew Detection Using Radon Transform.

Y Chen, M Bahaghighat, AE Kelishomi… - … Systems Science & …, 2023 - researchgate.net
In the digital world, a wide range of handwritten and printed documents should be converted
to digital format using a variety of tools, including mobile phones and scanners …

An intelligent adaptive learning framework for fake video detection using spatiotemporal features

A Koteswaramma, MB Rao, GJ Suma - Signal, Image and Video …, 2024 - Springer
Nowadays, multimedia is vulnerable to hacking because of insecurity. The traditional
security mechanism is insufficient to deal with multimedia to protect them against malicious …

[PDF][PDF] Feature Based Techniques for a Face Recognition using Supervised Learning Algorithms based on Fixed Monocular Video Camera

I Anwar, SF Ali, J Ahmad, S Zafar… - Innovative Computing …, 2022 - academia.edu
Despite the fact that numerous algorithms have been proposed in the literature, face
recognition in unconstrained scenes remains a challenging problem due to changes in …