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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/39734

Title:	Enhancing Procedural Animations with Motion Capture Data
Authors:	李蔡彥
Contributors:	ACM 國立政治大學資訊科學系
Keywords:	Motion Capture Data
Date:	2008-12
Issue Date:	2010-05-27 16:49:30 (UTC+8)
Abstract:	Introduction In the approach of procedural animation, knowledge-based algorithmic procedures are designed to generate specific types of animations automatically according to a set of motion-specific parameters (such as step length), character model, and the given environment [Bruderlin & Calvert, 1996]. The main advantage of this approach is that the generated motions can be made adaptive to the character model (without retargeting) as well as the environment. However, in addition to the effort of designing the underlying procedures, it has the drawback of requiring timeconsuming parameter tuning to generate natural-looking motions. On the other hand, animations created with motion capture (Mo- Cap) data look more natural but can be made flexible only up to certain degree [Witkin & Popovic, 1995]. In this work, we attempt to take advantage of both approaches and enhance procedural animations by formulating an optimization problem on searching for an optimal set of procedural parameters that make the generated animation resemble the target captured motion.
Relation:	Proceedings of ACM SIGGRAPH Asia 2008
Data Type:	conference
Appears in Collections:	[Department of Computer Science ] Proceedings

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