scholar.google.com › citations
In this paper we propose a reduced reference method for mesh visual quality assessment. The method compares features extracted from the distorted mesh and the ...
A blind mesh visual quality assessment method based on convolutional neural network · On the Correspondence between Human Vision and Convolutional Neural ...
This paper presents a new method for no reference mesh vi- sual quality assessment using a convolutional neural network. To do this, we first render 2D ...
In this work, we propose a method based on deep learning for the mesh visual quality assessment without reference.
Reduced Reference Mesh Visual Quality Assessment Based on ...
univ-orleans.hal.science › hal-02384312
Reduced Reference Mesh Visual Quality Assessment Based on Convolutional Neural Network ; Ilyass Abouelaziz · PersonId : 799334; IdHAL : ilyass-abouelaziz; ORCID : ...
Abstract—Blind quality assessment is a challenging issue since the evaluation is done without access to the reference nor any.
We introduce a no-reference mesh quality assessment index based on deep convolutional features named DCFQI (Deep Convolutional Features Quality Index).
Missing: Reduced | Show results with:Reduced
In this paper, we present a novel method for blind MVQ as- sessment. The proposed method is based on the combination of three automatic learned feature vectors ...
Reduced Reference 3D Mesh Quality Assessment Based on Statistical Models. Conference Paper. Full-text available. Nov 2015. Ilyass Abouelaziz ...
No-Reference Mesh Visual Quality Assessment Using Graph-Based Deep Learning · Image Quality Assessment Without Reference By Mixing Deep Learning-Based Features.
Missing: Reduced | Show results with:Reduced