Yuetong Zhu
ABSTRACT
Traditional character animation system is usually implemented by state machine. The system divides animation clips into various states and switches states through various operations. With the diversification of operations, the animation states are increasing and the state machine is becoming more and more complex. For the fluency of animation, it often needs a large number of animation clips and a variety of trivial excessive animation, which is difficult to maintain. Motion Matching is a new animation system, which abandons the complicated state switching and maintains high fluency and robustness. This paper summarizes the working mode of motion matching, and introduces a scheme of trajectory comparison in UE4.
- Cooper J. The Five Fundamentals of Game Animation[M]//Game Anim Video Game Animation Explained. AK Peters/CRC Press, 2019: 41-55.Google Scholar
Cross Ref
- Yongjoon Lee, Kevin Wampler, Gilbert Bernstein, Jovan Popović, and Zoran Popović.2010. Motion Fields for Interactive Character Locomotion. InACM SIGGRAPH Asia2010 Papers(Seoul, South Korea)(SIGGRAPH ASIA ’10). ACM, New York, NY, USA,Article 138, 8 pages. Google ScholarDigital Library
- Zadziuk K. Motion matching: The future of gameplay animation... today[C]. GDC, 2016.Google Scholar
- Simon Clavet. 2016. Motion Matching and The Road to Next-Gen Animation. InProc.of GDC 2016.Google Scholar
Index Terms
- Implementation of Trajectory Comparison of Motion Matching in UE4
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