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Watermarked 3-D Mesh Quality Assessment

Authors: Massimiliano Corsini; Elisa Drelie Gelasca; Touradj Ebrahimi; Mauro Barni;

Watermarked 3-D Mesh Quality Assessment

Abstract

This paper addresses the problem of assessing distortions produced by watermarking 3-D meshes. In particular, a new methodology for subjective evaluation of the quality of 3-D objects is proposed and implemented. Two objective metrics derived from measures of surface roughness are then proposed and their efficiency to predict the perceptual impact of 3-D watermarking is assessed and compared with the state of the art. Results obtained showgood correlations between the proposed objective metrics and subjective assessments by human observers.

Country
Italy
Keywords

Objective metric, Subjective evaluation, perceptual metrics, Mesh watermarking, 3-D objects quality assessment; 3-D watermarking; Mesh watermarking; Objective metrics; Perceptual metrics; Subjective evaluation, 3-D objects quality assessment, Perceptual metric, objective metrics, 3-D watermarking, 025, I.3 Computer Grahics, 3-D objects quality assessment; 3-D watermarking; Mesh watermarking; Objective metrics; Perceptual metrics; Subjective evaluation;, 3D objects quality assessment, 3D watermarking

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
115
Top 10%
Top 1%
Top 10%
119
bronze