We propose a data-driven method to realize high quality detailed hair animations in interactive applications like games. By devising an error metric method to evaluate hair animation similarities, we take hair features into consideration as much as possible. We also propose a novel database construction algorithm based on Secondary Motion Graph (SMG). Our algorithm can improve the efficiency of such graphs to reduce redundant data, and also achieve visually-smooth connection of two animation clips while taking into consideration their future motions. The costs for the run-time process using our SMG are relatively low, allowing real-time interactive operations.
Videos
Papers
- Chenlei Wu, Takashi Kanai: “Data-Driven Detailed Hair Animation for Game Characters,” Computer Animation and Virtual Worlds (Special issue for CASA 2016), Volume 27, Issue 3-4, pp.221–230, May-August 2016. [Paper (author’s version)][Paper (publisher’s version)]
2nd Best Paper Award - Chenlei Wu, Takashi Kanai: “Animating Detailed Hairs for Game Characters using Enhanced Secondary Motion Graph”, 14th ACM SIGGRAPH International Conference on Virtual Reality Continuum and Its Applications in Industry (VRCAI 2015) Posters (Kobe, Japan, 30 October – 1 November), 2015. (also presented in SIGGRAPH ASIA 2015 Posters)
Best Poster (2nd prize)