Learning graph convolutional network for blind mesh visual quality assessment
This paper proposes a new method for blind mesh visual quality assessment (MVQA) based
on a graph convolutional network. For that, we address the node classification problem to …
on a graph convolutional network. For that, we address the node classification problem to …
A convolutional neural network framework for blind mesh visual quality assessment
I Abouelaziz, M El Hassouni… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
In this paper, we propose a new method for blind mesh visual quality assessment using a
deep learning approach. To do this, we first extract visual representative features by …
deep learning approach. To do this, we first extract visual representative features by …
No-reference mesh visual quality assessment via ensemble of convolutional neural networks and compact multi-linear pooling
Blind or No reference quality evaluation is a challenging issue since it is done without
access to the original content. In this work, we propose a method based on deep learning for …
access to the original content. In this work, we propose a method based on deep learning for …
[PDF][PDF] A blind mesh visual quality assessment method based on convolutional neural network
This paper presents a new method for no reference mesh visual quality assessment using a
convolutional neural network. To do this, we first render 2D images from multiple views of …
convolutional neural network. To do this, we first render 2D images from multiple views of …
3D visual saliency and convolutional neural network for blind mesh quality assessment
A number of full reference and reduced reference methods have been proposed in order to
estimate the perceived visual quality of 3D meshes. However, in most practical situations …
estimate the perceived visual quality of 3D meshes. However, in most practical situations …
Blind mesh assessment based on graph spectral entropy and spatial features
Y Lin, M Yu, K Chen, G Jiang, F Chen, Z Peng - Entropy, 2020 - mdpi.com
With the wide applications of three-dimensional (3D) meshes in intelligent manufacturing,
digital animation, virtual reality, digital cities and other fields, more and more processing …
digital animation, virtual reality, digital cities and other fields, more and more processing …
Blind mesh quality assessment method based on concave, convex and structural features analyses
Y Lin, M Yu, K Chen, G Jiang, Z Peng… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Various visual distortions can inevitably affect 3D mesh model during their transmission and
geometrical processing. Therefore, how to evaluate visual quality of 3D mesh becomes an …
geometrical processing. Therefore, how to evaluate visual quality of 3D mesh becomes an …
Blind 3D mesh visual quality assessment using support vector regression
Various visual distortions can inevitably affect the 3D meshes during their transmission and
geometrical processing. In most practical cases, blind quality assessment becomes a …
geometrical processing. In most practical cases, blind quality assessment becomes a …
Convolutional neural network for blind mesh visual quality assessment using 3d visual saliency
I Abouelaziz, A Chetouani… - 2018 25th IEEE …, 2018 - ieeexplore.ieee.org
In this work, we propose a convolutional neural network (CNN) framework to estimate the
perceived visual quality of 3D meshes without having access to the reference. The proposed …
perceived visual quality of 3D meshes without having access to the reference. The proposed …
3d blind mesh quality assessment index
After the sound, 2D images and videos, 3D models represented by polygonal meshes are
the actual emergent content due to the technological advance in terms of 3D acquisition. 3D …
the actual emergent content due to the technological advance in terms of 3D acquisition. 3D …