Reduced Reference 3D Mesh Quality Assessment Based on Statistical Models

2015 ◽  
Author(s):  
Ilyass Abouelaziz ◽  
Mounir Omari ◽  
Mohammed El Hassouni ◽  
Hocine Cherifi
Keyword(s):  
Quality Assessment ◽  
Statistical Models ◽  
Mesh Quality ◽  
3D Mesh

A novel spatial pooling method for 3D mesh quality assessment based on percentile weighting strategy

2018 ◽  
Vol 74 ◽  
pp. 12-22 ◽  
Author(s):  
Xiang Feng ◽  
Wanggen Wan ◽  
Richard Yi Da Xu ◽  
Stuart Perry ◽  
Pengfei Li ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Mesh Quality ◽  
3D Mesh ◽  
Spatial Pooling ◽  
Weighting Strategy

Combination Of Handcrafted And Deep Learning-Based Features For 3d Mesh Quality Assessment

2020 ◽  
Author(s):  
Ilyass Abouelaziz ◽  
Aladine Chetouani ◽  
Mohammed El Hassouni ◽  
Longin Jan Latecki ◽  
Hocine Cherifi
Keyword(s):  
Deep Learning ◽  
Quality Assessment ◽  
Mesh Quality ◽  
3D Mesh

scholarly journals Blind Mesh Assessment Based on Graph Spectral Entropy and Spatial Features

Entropy ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. 190 ◽  
Author(s):  
Yaoyao Lin ◽  
Mei Yu ◽  
Ken Chen ◽  
Gangyi Jiang ◽  
Fen Chen ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Structural Information ◽  
Three Dimensional ◽  
Intelligent Manufacturing ◽  
Assessment Method ◽  
Mesh Quality ◽  
Spectral Entropy ◽  
Human Visual Perception ◽  
3D Mesh ◽  
Spatial Features

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 techniques are being developed for 3D meshes, including watermarking, compression, and simplification, which will inevitably lead to various distortions. Therefore, how to evaluate the visual quality of 3D mesh is becoming an important problem and it is necessary to design effective tools for blind 3D mesh quality assessment. In this paper, we propose a new Blind Mesh Quality Assessment method based on Graph Spectral Entropy and Spatial features, called as BMQA-GSES. 3D mesh can be represented as graph signal, in the graph spectral domain, the Gaussian curvature signal of the 3D mesh is firstly converted with Graph Fourier transform (GFT), and then the smoothness and information entropy of amplitude features are extracted to evaluate the distortion. In the spatial domain, four well-performing spatial features are combined to describe the concave and convex information and structural information of 3D meshes. All the extracted features are fused by the random forest regression to predict the objective quality score of the 3D mesh. Experiments are performed successfully on the public databases and the obtained results show that the proposed BMQA-GSES method provides good correlation with human visual perception and competitive scores compared to state-of-art quality assessment methods.

Novel 3D mesh quality assessment method based on curvature analysis

2018 ◽  
Author(s):  
Gangyi Jiang ◽  
Yaoyao Lin ◽  
Mei Yu ◽  
Yang Song ◽  
Hua Shao
Keyword(s):  
Quality Assessment ◽  
Assessment Method ◽  
Mesh Quality ◽  
3D Mesh ◽  
Curvature Analysis ◽  
Quality Assessment Method

scholarly journals Full-reference saliency-based 3D mesh quality assessment index

2016 ◽  
Author(s):  
Anass Nouri ◽  
Christophe Charrier ◽  
Olivier Lezoray
Keyword(s):  
Quality Assessment ◽  
Mesh Quality ◽  
Assessment Index ◽  
3D Mesh ◽  
Full Reference

No-reference stereo image quality assessment based on joint wavelet decomposition and statistical models

2017 ◽  
Vol 54 ◽  
pp. 107-117 ◽  
Author(s):  
W. Hachicha ◽  
M. Kaaniche ◽  
A. Beghdadi ◽  
F.A. Cheikh
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Statistical Models ◽  
Wavelet Decomposition ◽  
Image Quality Assessment ◽  
Stereo Image

scholarly journals 3D Blind Mesh Quality Assessment Index

2017 ◽  
Vol 2017 (20) ◽  
pp. 9-26 ◽  
Author(s):  
Anass Nouri ◽  
Christophe Charrier ◽  
Olivier Lézoray
Keyword(s):  
Quality Assessment ◽  
Mesh Quality ◽  
Assessment Index

Nose detection and face extraction from 3D raw facial surface based on mesh quality assessment

2010 ◽  
Author(s):  
Naoufel Werghi ◽  
Haykel Boukadia ◽  
Youssef Meguebli ◽  
Harish Bhaskar
Keyword(s):  
Quality Assessment ◽  
Mesh Quality

A 3D Mesh Quality Metric based on Features Fusion

2017 ◽  
Vol 2017 (20) ◽  
pp. 4-8 ◽  
Author(s):  
Aladine Chetouani
Keyword(s):  
Mesh Quality ◽  
3D Mesh ◽  
Quality Metric ◽  
Features Fusion
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