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 …
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 …
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
Micro-expression recognition has gained much attention in research communities. Among
its proposed solutions, deep learning approaches have shown promising results over the …
its proposed solutions, deep learning approaches have shown promising results over the …
Do as I Do: Pose Guided Human Motion Copy
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 …
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
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 …
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 …
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
Nowadays, multimedia is vulnerable to hacking because of insecurity. The traditional
security mechanism is insufficient to deal with multimedia to protect them against malicious …
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 …
recognition in unconstrained scenes remains a challenging problem due to changes in …