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 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.

A Video Quality Assessment Method for VoIP Applications Based on User Experience

2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Zedong Wang ◽  
Jing Wang ◽  
Fei Wang ◽  
Chengcai Li ◽  
Zesong Fei ◽  
...  
Keyword(s):  
Quality Assessment ◽  
User Experience ◽  
Video Quality ◽  
Assessment Method ◽  
Video Quality Assessment ◽  
Quality Assessment Method
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