Perceptual Metrics for Static and Dynamic Triangle Meshes

dc.contributor.authorCorsini, Massimilianoen_US
dc.contributor.authorLarabi, Chakeren_US
dc.contributor.authorLavoué, Guillaumeen_US
dc.contributor.authorPetrík, Oldrichen_US
dc.contributor.authorVása, Liboren_US
dc.contributor.authorWang, Kaien_US
dc.contributor.editorMarie-Paule Cani and Fabio Ganovellien_US
dc.date.accessioned2013-11-08T10:29:32Z
dc.date.available2013-11-08T10:29:32Z
dc.date.issued2012en_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.en_US
dc.description.seriesinformationEurographics 2012 - State of the Art Reportsen_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttps://doi.org/10.2312/conf/EG2012/stars/135-157en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): Models and Principles [H.1.2]: User/MachineSystems-Human Factorsen_US
dc.titlePerceptual Metrics for Static and Dynamic Triangle Meshesen_US
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