On natural motion editing by a geometric mean filter

Authors:
Jin Ok Kim;Chang Han Oh;Chin Hyun Chung;Jun Hwang;Woongjae Lee
Affiliations:
School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Kyunggi-do, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Division of Information and Communication Engineering, Seoul Women's, Seoul, Korea;Division of Information and Communication Engineering, Seoul Women's, Seoul, Korea
Venue:
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartII
Year:
2003

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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. A motion library that is an archive of reusable motion clips is also commercially available. 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.