Author:
Gutemberg Guerra-Filho
Affiliation:
University of Texas at Arlington, United States
Keyword(s):
Motion Capture Format, Motion Representation, Pre-rotation Transformation.
Related
Ontology
Subjects/Areas/Topics:
Animation and Simulation
;
Animation from Motion Capture
;
Computer Vision, Visualization and Computer Graphics
;
Human Figure Animation
Abstract:
We propose a novel motion representation, named General Motion Representation (GMR), which explicitly contains the absolute world coordinates of the meaningful joints, while still specifying every other joint with rotational data relative to their respective parent joints. More specifically, our representation supports multiple roots where any joint can be a root due to the use of a novel pre-rotation format for the construction of local transformation matrices. Hence, our general motion representation allows for all intermediate data structures between fully rotational and fully translational data. The use of multiple roots also implies the representation of partial motion considering a subset of joints. We introduce the general motion representation to consider multiple roots with the support of three operations (shift root, split skeleton tree, and join skeleton trees). These operations allow reduced skeletal complexity because of the application of pre-rotation local transformati
on matrices which eliminates the requirement for dummy joints. We also present procedures to convert from raw marker data or post-rotation formats. We demonstrate the highly efficient computation of per-frame joint positions and orientations. Our experimental results show that GMR outperforms traditional motion formats in both speed and flexibility. At the full translational configuration, GMR is around seven times faster than bvh.
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