NDLI: Analytic simplification of animated characters

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Analytic simplification of animated characters

Content Provider	ACM Digital Library
Author	Merry, Bruce Gain, James Marais, Patrick
Abstract	Traditionally, 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, 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. Firstly, 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. Secondly, we simplify individual vertices by reducing the number of bones that influence them, using a constrained least-squares optimisation. 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) experiements confirm that these new extensions provide significant improvements in quality over traditional, naïve simplification; and while there is naturally some impact on the speed of the off-line simplification process, it is not prohibitive.
Starting Page	37
Ending Page	45
Page Count	9
File Format	PDF
ISBN	9781605584287
DOI	10.1145/1503454.1503462
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-02-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Simplification Character animation
Content Type	Text
Resource Type	Article

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