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 …
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 …
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 …
Objective visual quality assessment for 3D meshes
3D triangle meshes are widely used in representation of graphic data, and they are subject
to various visual distortions during geometry processing and transmission. In this study, we …
to various visual distortions during geometry processing and transmission. In this study, we …
No Reference 3D mesh quality assessment using deep convolutional features
3D meshes have gained significant interest in computer vision community due to their use in
several applications such as virtual reality, gaming, heritage preservation, etc. How-ever …
several applications such as virtual reality, gaming, heritage preservation, etc. How-ever …
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 …
Full reference mesh visual quality assessment using pre-trained deep network and quality indices
A Ilyass, C Aladine, M El Hassouni… - 2019 15th International …, 2019 - ieeexplore.ieee.org
In this paper, we propose an objective quality metric to evaluate the perceived visual quality
of 3D meshes. Our method relies on pre-trained convolutional neural network ie VGG to …
of 3D meshes. Our method relies on pre-trained convolutional neural network ie VGG to …
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 …
Reduced reference mesh visual quality assessment based on convolutional neural network
I Abouelaziz, A Chetouani… - … Conference on Signal …, 2018 - ieeexplore.ieee.org
3D meshes are usually affected by various visual distortions during their transmission and
geometric processing. In this paper we propose a reduced reference method for mesh visual …
geometric processing. In this paper we propose a reduced reference method for mesh visual …