Flexible automatic motion blending with registration curves
Lucas Kovar,Michael Gleicher +1 more
- 26 Jul 2003
- pp 214-224
TL;DR: This work introduces a novel data structure called a registration curve that expands the class of motions that can be successfully blended without manual input by automatically determining relationships involving the timing, local coordinate frame, and constraints of the input motions.
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Abstract: Many motion editing algorithms, including transitioning and multitarget interpolation, can be represented as instances of a more general operation called motion blending. We introduce a novel data structure called a registration curve that expands the class of motions that can be successfully blended without manual input. Registration curves achieve this by automatically determining relationships involving the timing, local coordinate frame, and constraints of the input motions. We show how registration curves improve upon existing automatic blending methods and demonstrate their use in common blending operations.
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References
•Book
Fundamentals of speech recognition
Lawrence R. Rabiner,Biing-Hwang Juang +1 more
- 01 Jan 1993
TL;DR: This book presents a meta-modelling framework for speech recognition that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of manually modeling speech.
9.4K
Motion graphs
Lucas Kovar,Michael Gleicher,Frédéric Pighin +2 more
- 01 Jul 2002
TL;DR: This paper presents a novel method for creating realistic, controllable motion given a corpus of motion capture data, and presents a general framework for extracting particular graph walks that meet a user's specifications.
1.2K
Interactive control of avatars animated with human motion data
Jehee Lee,Jinxiang Chai,Paul S. A. Reitsma,Jessica K. Hodgins,Nancy S. Pollard +4 more
- 01 Jul 2002
TL;DR: This paper shows that a motion database can be preprocessed for flexibility in behavior and efficient search and exploited for real-time avatar control and demonstrates the flexibility of the approach through four different applications.
1K
Retargetting motion to new characters
Michael Gleicher
- 24 Jul 1998
TL;DR: In this article, a spacetime constraints solver computes an adapted motion that re-establishes these constraints while preserving the frequency characteristics of the original signal, and demonstrate their approach on motion capture data.
Verbs and adverbs: multidimensional motion interpolation
TL;DR: A system for real-time interpolated animation that addresses some of the problems of simulated figures that alter their actions based on their momentary mood or in response to changes in their goals or environmental stimuli.
812
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