Dihedral Angle Mesh Error: a fast perception correlated distortion measure for fixed connectivity triangle meshes

In computer graphics, triangle meshes are ubiquitous as a representation of surface models. Processing of this kind of data, such as compression or watermarking, often involves an unwanted distortion of the surface geometry. Advanced processing algorithms are continuously being proposed, aiming at i...

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Veröffentlicht in:Computer graphics forum Jg. 31; H. 5; S. 1715 - 1724
Hauptverfasser: Váša, Libor, Rus, Jan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford, UK Blackwell Publishing Ltd 01.08.2012
Schlagworte:
[I.4.2]: Compression (Coding)-Approximate Methods
Algorithms
Computer graphics
correlation
Correlation analysis
difference
dihedral angle
Distortion
Experiments
Finite element method
Human
masking effect
measure
metric
Models And Principles [H.1.2]: User/Machine Systems-Human Factors Image Processing And Computer Vision
Perception
Studies
subjective
Triangles
visibility
Watermarking
ISSN:0167-7055, 1467-8659
Online-Zugang:Volltext
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Zusammenfassung:In computer graphics, triangle meshes are ubiquitous as a representation of surface models. Processing of this kind of data, such as compression or watermarking, often involves an unwanted distortion of the surface geometry. Advanced processing algorithms are continuously being proposed, aiming at improving performance (compression ratio, watermark robustness and capacity), while minimizing the introduced distortion. In most cases, the final resulting mesh is intended to be viewed by a human observer, and it is therefore necessary to minimise the amount of distortion perceived by the human visual system. However, only recently there have been studies published on subjective experiments in this field, showing that previously used objective error measures exhibit rather poor correlation with the results of subjective experiments. In this paper, we present results of our own large subjective testing aimed at human perception of triangle mesh distortion. We provide an independent confirmation of the previous result by Lavoué et al. that most current metrics perform poorly, with the exception of the MSDM/MSDM2 metrics. We propose a novel metric based on measuring the distortion of dihedral angles, which provides even higher correlation with the results of our experiments and experiments performed by other researchers. Our metric is about two orders of magnitude faster than MSDM/MSDM2, which makes it much more suitable for usage in iterative optimisation algorithms.
Bibliographie:istex:C4D37897F635F01D74E4588B814F94876A2ED283
ArticleID:CGF3176
ark:/67375/WNG-8FS3DRRD-3
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2012.03176.x