A Multiscale Metric for 3D Mesh Visual Quality Assessment

Many processing operations are nowadays applied on 3D meshes like compression, watermarking, remeshing and so forth; these processes are mostly driven and/or evaluated using simple distortion measures like the Hausdorff distance and the root mean square error, however these measures do not correlate...

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Veröffentlicht in:Computer graphics forum Jg. 30; H. 5; S. 1427 - 1437
1. Verfasser: Lavoue, Guillaume
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford, UK Blackwell Publishing Ltd 01.08.2011
Wiley
Schlagworte:
Compressing
Compression tests
Computer graphics
Computer Science
Correlation analysis
Data compression
Density
Distortion
I.3.5 [Computer Graphics]: Computer Graphics-Computational Geometry and Object Modeling
I.3.m [Computer Graphics]: Computer Graphics-Perception
Mapping
Studies
Three dimensional
Visual
Watermarking
ISSN:0167-7055, 1467-8659
Online-Zugang:Volltext
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Zusammenfassung:Many processing operations are nowadays applied on 3D meshes like compression, watermarking, remeshing and so forth; these processes are mostly driven and/or evaluated using simple distortion measures like the Hausdorff distance and the root mean square error, however these measures do not correlate with the human visual perception while the visual quality of the processed meshes is a crucial issue. In that context we introduce a full‐reference 3D mesh quality metric; this metric can compare two meshes with arbitrary connectivity or sampling density and produces a score that predicts the distortion visibility between them; a visual distortion map is also created. Our metric outperforms its counterparts from the state of the art, in term of correlation with mean opinion scores coming from subjective experiments on three existing databases. Additionally, we present an application of this new metric to the improvement of rate‐distortion evaluation of recent progressive compression algorithms.
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2011.02017.x