Perceptual Metrics for Static and Dynamic Triangle Meshes

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dc.contributor.authorCorsini, M.en_US
dc.contributor.authorLarabi, M. C.en_US
dc.contributor.authorLavoué, G.en_US
dc.contributor.authorPetřík, O.en_US
dc.contributor.authorVáša, L.en_US
dc.contributor.authorWang, K.en_US
dc.contributor.editorHolly Rushmeier and Oliver Deussenen_US
dc.date.accessioned2015-02-28T15:16:47Z
dc.date.available2015-02-28T15:16:47Z
dc.date.issued2013en_US
dc.description.abstractAlmost all mesh processing procedures cause some more or less visible changes in the appearance of objects represented by polygonal meshes. In many cases, such as mesh watermarking, simplification or lossy compression, the objective is to make the change in appearance negligible, or as small as possible, given some other constraints. Measuring the amount of distortion requires taking into account the final purpose of the data. In many applications, the final consumer of the data is a human observer, and therefore the perceptibility of the introduced appearance change by a human observer should be the criterion that is taken into account when designing and configuring the processing algorithms. In this review, we discuss the existing comparison metrics for static and dynamic (animated) triangle meshes. We describe the concepts used in perception-oriented metrics used for 2D image comparison, and we show how these concepts are employed in existing 3D mesh metrics. We describe the character of subjective data used for evaluation of mesh metrics and provide comparison results identifying the advantages and drawbacks of each method. Finally, we also discuss employing the perception-correlated metrics in perception-oriented mesh processing algorithms. Please use and the following text for graphical abstract: In this review, we discuss the existing comparison metrics for static and dynamic (animated) triangle meshes. We describe the concepts used in perception-oriented metrics used for 2D image comparison, and we show how these concepts are employed in existing 3D mesh metrics. We describe the character of subjective data used for evaluation of mesh metrics and provide comparison results identifying the advantages and drawbacks of each method. Finally, we also discuss employing the perception-correlated metrics in perception-oriented mesh processing algorithms.In this review, we discuss the existing comparison metrics for static and dynamic (animated) triangle meshes. We describe the concepts used in perception-oriented metrics used for 2D image comparison, and we show how these concepts are employed in existing 3D mesh metrics. We describe the character of subjective data used for evaluation of mesh metrics and provide comparison results identifying the advantages and drawbacks of each method. Finally, we also discuss employing the perception-correlated metrics in perception-oriented mesh processing algorithms.en_US
dc.description.documenttypestar
dc.description.number1
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume32
dc.identifier.doi10.1111/cgf.12001
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/v32i1pp101-125
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12001en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectModels and Principles [H.1.2]en_US
dc.subjectUser/Machine Systems Human Factorsen_US
dc.subjectmetricen_US
dc.subjectdistortionen_US
dc.subjectperceptionen_US
dc.subjectmeshen_US
dc.subjectsurfaceen_US
dc.subjectevaluationen_US
dc.subjectwatermarkingen_US
dc.subjectcompressionen_US
dc.subjectsimplificationen_US
dc.subjecthuman visionen_US
dc.subjectanimationen_US
dc.subjectcomparisonen_US
dc.titlePerceptual Metrics for Static and Dynamic Triangle Meshesen_US
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