A 3D Perceptual Metric using Just-Noticeable-Difference

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dc.contributor.authorCheng, Ireneen_US
dc.contributor.authorBoulanger, Pierreen_US
dc.contributor.editorJohn Dingliana and Fabio Ganovellien_US
dc.date.accessioned2015-07-19T16:45:40Z
dc.date.available2015-07-19T16:45:40Z
dc.date.issued2005en_US
dc.description.abstractIn multimedia applications, it is essential to distribute resources efficiently among different types of data in order to optimize overall quality. We propose a perceptual metric using Just-Noticeable-Difference (JND) to identify redundant mesh data so that available bandwidth can be allocated to improve texture resolution. Evaluation of perceptual impact during runtime is based on statistics in a lookup table generated during preprocessing. If the impact is less than the JND, no mesh refinement is performed. We apply Weber s fraction to compute the JND threshold, which is verified by perceptual evaluations. Experimental result shows that our JND model can accurately predict perceptual impact based on the human visual system.en_US
dc.description.sectionheadersImmersion and Perceptionen_US
dc.description.seriesinformationEG Short Presentationsen_US
dc.identifier.doi10.2312/egs.20051033en_US
dc.identifier.pages97-100en_US
dc.identifier.urihttps://doi.org/10.2312/egs.20051033en_US
dc.publisherThe Eurographics Associationen_US
dc.titleA 3D Perceptual Metric using Just-Noticeable-Differenceen_US
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