Sep 6, 2022 · This paper addresses the above problems by proposing an accurate machine-learning-based quality assessment model for foveated 360° images.
Non-uniform (foveated) 360° image quality assessment using graph convolution network.
Foveated technologies can significantly reduce the data required for transmission and computation complexity in rendering. However, understanding the impact of ...
An Effective Foveated 360° Image Assessment Based on Graph Convolution Network. TT Huong, HTT Tran, ND Viet, BD Tien, NH Thanh, TC Thang, PN Nam. IEEE Access 10 ...
A framework to compare the performance of different subjective assessment methods on foveated rendering systems and considers two performance metrics: ...
An Effective Foveated 360° Image Assessment Based on Graph Convolution Network ... A Fast Foveated Fully Convolutional Network Model for Human Peripheral Vision.
A list of recent image quality related papers published in top journals and conferences. Top Journal Early Access Deep Active Learning with Contaminated Tags
Aug 25, 2024 · Technology can significantly enhance 360-degree performance evaluations by improving data accuracy, reducing biases, and optimizing user experience.
A comprehensive survey of foveated rendering. General characteristics, commonalities, differences, advantages, and limitations.
In this paper, we propose a framework to compare the performance of different subjective assessment methods on foveated rendering systems. We consider two ...