NDLI: Motion synthesis with decoupled parameterization

Content Provider	Springer Nature Link
Author	Ha, Dongwook Han, JungHyun
Copyright Year	2008
Abstract	In real-time animation systems, motion interpolation techniques are widely used for their controllability and efficiency. The techniques sample the parameter space using example motions, and interpolate them to compute the blend weights corresponding to the given parameters. A main problem of the techniques is that, as the dimension n of the parameter space increases, the number of required example motions increases exponentially, i.e. O(c n ). To resolve the problem, this paper proposes to use two decoupled parameter spaces for controlling the upper body and the lower body separately. At each frame time, a parameterized motion space produces a source frame, and the target frame is synthesized by splicing the upper body of one source frame with the lower body of the other. In order to have the two source frames correlated with each other, a time-warping scheme has been developed. Furthermore, in order to handle the dynamic properties of the parameter samples of the upper body, we have developed an approximation technique for quickly determining the sample positions in its parameter space. This decoupled parameterization method alleviates the complexity problem, e.g. from O(c 6) to O(c 3), while providing the users with the capability of convenient control over the character.
Starting Page	587
Ending Page	594
Page Count	8
File Format	PDF
ISSN	01782789
Journal	The Visual Computer
Volume Number	24
Issue Number	7-9
e-ISSN	14322315
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-05-29
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Character animation Motion capture Motion blending Parametric motion synthesis Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Computer Graphics
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Computer Vision and Pattern Recognition Software

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