On Natural Motion Editing by a Geometric Mean Filter


Kim Jin-Ok, Journal of Information Processing Systems Vol. 5, No. 2, pp. 41-48, Apr. 2004  


Keywords: GMF, Motion Capture, Motion Editing
Fulltext:

Abstract

Recently, motion capture has become one of the most promising technologies in animation. Realistic motion data can be captured by recording the movement of a real actor with an optical or magnetic motion capture system. This paper deals with motion editing by a geometric mean filter. Since the captured motion has some noises that cause a jerky motion, it needs a smoothing process to make it natural. A geometric mean filter is proposed to produce natural motions without jerky motions. Experimental results show that the geometric mean filter can effectively remove noises that cause a jerky motion and it can guarantee the most natural motions among various spatial filters. This method could be applied to the various fields such as real time animation, virtual reality applications, 3D applications, and etc.


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Cite this article
[APA Style]
Jin-Ok, K. (2004). On Natural Motion Editing by a Geometric Mean Filter. Journal of Internet Computing and Services, 5(2), 41-48.

[IEEE Style]
K. Jin-Ok, "On Natural Motion Editing by a Geometric Mean Filter," Journal of Internet Computing and Services, vol. 5, no. 2, pp. 41-48, 2004.

[ACM Style]
Kim Jin-Ok. 2004. On Natural Motion Editing by a Geometric Mean Filter. Journal of Internet Computing and Services, 5, 2, (2004), 41-48.