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학술지 Data-Driven Approach for Human Locomotion Generation
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저자
김예진, 김명규
발행일
201504
출처
International Journal of Image and Graphics, v.15 no.2, pp.1-19
ISSN
0219-4678
출판사
World Scientific
DOI
https://dx.doi.org/10.1142/S021946781540001X
협약과제
15MS2500, 전통 및 대중 무용의 체험 학습 창작을 위한 퍼포먼스 분석 및 생성 기술 개발, 김명규
초록
This paper introduces a data-driven approach for human locomotion generation that takes as input a set of example locomotion clips and a motion path specified by an animator. Significantly, the approach only requires a single example of straight-path locomotion for each style expressed and can produce a continuous output sequence on an arbitrary path. Our approach considers quantitative and qualitative aspects of motion and suggests several techniques to synthesize a convincing output animation: motion path generation, interactive editing, and physical enhancement for the output animation. Initiated with an example clip, this process produces motion that differs stylistically from any in the example set, yet preserves the high quality of the example motion. As shown in the experimental results, our approach provides efficient locomotion generation by editing motion capture clips, especially for a novice animator, at interactive speed.
키워드
Character animation, interactive editing, locomotion, motion path
KSP 제안 키워드
Character animation, Data-driven approach, Interactive editing, Motion capture, Motion path, Output sequence, Path generation, human locomotion