Simplifying Character Skins with Analytic Error Metrics

dc.contributor.authorMerry, B.en_US
dc.contributor.authorMarais, P.en_US
dc.contributor.authorGain, J.en_US
dc.date.accessioned2015-02-23T09:36:15Z
dc.date.available2015-02-23T09:36:15Z
dc.date.issued2010en_US
dc.description.abstractTraditionally, levels of detail (LOD) for animated characters are computed from a single pose. Later techniques refined this approach by considering a set of sample poses and evaluating a more representative error metric. A recent approach to the character animation problem, animation space, (AS) provides a framework for measuring error analytically. The work presented here uses the animation-space framework to derive two new techniques to improve the quality of LOD approximations.First, we use an animation-space distance metric within a progressive mesh-based LOD scheme, giving results that are reasonable across a range of poses, without requiring that the pose space be sampled.Second, we simplify individual vertices by reducing the number of bones that influence them, using a constrained least-squares optimization. This influence simplification is combined with the progressive mesh to form a single stream of simplifications. Influence simplification reduces the geometric error by up to an order of magnitude, and allows models to be simplified further than is possible with only a progressive mesh.Quantitative (geometric error metrics) and qualititative (user perceptual) experiments confirm that these new extensions provide significant improvements in quality over traditional, naive simplification; and while there is naturally some impact on the speed of the off-line simplification process, it is not prohibitive.en_US
dc.description.number1en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume29en_US
dc.identifier.doi10.1111/j.1467-8659.2009.01543.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages13-24en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2009.01543.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleSimplifying Character Skins with Analytic Error Metricsen_US
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