We present a novel methodology to quantitatively evaluate the synthesized motion generated by a motion-based animation technique. Our quantitative evaluation methodology provides a measure of how well each algorithm synthesizes motion based on their rotational and translational similarities to the ground truth in a motion database. To demonstrate the effectiveness of our methodology, we focus on techniques that combine different motions into a single spliced action where individual motions are performed simultaneously. We implement three splicing algorithms to perform a comparison study based on our quantitative evaluation methodology. The splicing algorithms considered are spatial body alignment, segmentation-based, and naive DOF replacement. The spatial body alignment adapts the spliced motion according to this joint correlation and, consequently, performs best under our evaluation methodology.
['Gutemberg Guerra-Filho', 'George Raphael', 'Venkat Devarajan']
A quantitative methodology to evaluate motion-based animation techniques