A 3D Perceptual Metric using Just-Noticeable-Difference
dc.contributor.author | Cheng, Irene | en_US |
dc.contributor.author | Boulanger, Pierre | en_US |
dc.contributor.editor | John Dingliana and Fabio Ganovelli | en_US |
dc.date.accessioned | 2015-07-19T16:45:40Z | |
dc.date.available | 2015-07-19T16:45:40Z | |
dc.date.issued | 2005 | en_US |
dc.description.abstract | In 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.sectionheaders | Immersion and Perception | en_US |
dc.description.seriesinformation | EG Short Presentations | en_US |
dc.identifier.doi | 10.2312/egs.20051033 | en_US |
dc.identifier.pages | 97-100 | en_US |
dc.identifier.uri | https://doi.org/10.2312/egs.20051033 | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.title | A 3D Perceptual Metric using Just-Noticeable-Difference | en_US |
Files
Original bundle
1 - 1 of 1