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 …
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 …
No-reference 3d mesh quality assessment based on dihedral angles model and support vector regression
Abstract 3D meshes are subject to various visual distortions during their transmission and
geometrical processing. Several works have tried to evaluate the visual quality using either …
geometrical processing. Several works have tried to evaluate the visual quality using either …
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 …
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 …
[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 …
Combination of handcrafted and deep learning-based features for 3d mesh quality assessment
I Abouelaziz, A Chetouani… - … on Image Processing …, 2020 - ieeexplore.ieee.org
We propose in this paper a novel objective method to evaluate the perceived visual quality
of 3D meshes. The proposed method in no-reference, it relies only on the distorted mesh for …
of 3D meshes. The proposed method in no-reference, it relies only on the distorted mesh for …
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 …
Reduced reference 3D mesh quality assessment based on statistical models
I Abouelaziz, M Omari, M El Hassouni… - … Conference on Signal …, 2015 - ieeexplore.ieee.org
During their geometry processing and transmission 3D meshes are subject to various visual
processing operations like compression, watermarking, remeshing, noise addition and so …
processing operations like compression, watermarking, remeshing, noise addition and so …
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 …