Authors:
Bernardo F. Costa
and
Claudio Esperança
Affiliation:
LCG/PESC, UFRJ, Av. Horácio Macedo 2030, CT, H-319 21941-590, Rio de Janeiro/RJ and Brazil
Keyword(s):
Motion Capture, Keyframing, Spatial Keyframe, Dimension Reduction, Multidimensional Projection.
Related
Ontology
Subjects/Areas/Topics:
Animation and Simulation
;
Animation from Motion Capture
;
Computer Vision, Visualization and Computer Graphics
;
Human Figure Animation
Abstract:
While motion capture (mocap) achieves realistic character animation at great cost, keyframing is capable of producing less realistic but more controllable animations. In this paper we show how to combine the Spatial Keyframing Framework (SKF) of Igarashi et al.(Igarashi et al., 2005) and multidimensional projection techniques to reuse mocap data in several ways. For instance, by extracting meaningful poses and projecting them on a plane, it is possible to sketch new animations using the SKF. Additionally, we show that multidimensional projection also can be used for visualization and motion analysis. We also propose a method for mocap compaction with the help of SK’s pose reconstruction (backprojection) algorithm. This compaction scheme was implemented for several known projection schemes and empirically tested alongside traditional temporal decimation schemes. Finally, we present a novel multidimensional projection optimization technique that significantly enhances SK-based compacti
on and can also be applied to other contexts where a back-projection algorithm is available.
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