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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Citations
MotionMontage: a system to annotate and combine motion takes for 3D animations
Ankit Gupta,Maneesh Agrawala,Brian Curless,Michael Cohen +3 more
- 26 Apr 2014
TL;DR: MotionMontage incorporates a Kinect-based performance capture setup that allows animators to create 3D animations by tracking the motion of a rigid physical object and mapping it in realtime onto a virtual object.
Synchronization for dynamic blending of motions
Stéphane Ménardais,Richard Kulpa,Franck Multon,Bruno Arnaldi +3 more
- 27 Aug 2004
TL;DR: This paper proposes an advanced time warping algorithm that is based on an algebraic relation to detect incompatible motions and to select elements of the sequence to be enlarged and demonstrates that this algorithm always finds at least one solution.
Synthesis and editing of personalized stylistic human motion
Jianyuan Min,Huajun Liu,Jinxiang Chai +2 more
- 19 Feb 2010
TL;DR: In this article, a generative human motion model for synthesis, retargeting, and editing of personalized human motion styles is presented, where the parameters a and e control "identity" and "style" variations of the motion x respectively.
Efficient content-based retrieval of motion capture data
Meinard Müller,Tido Röder,Michael Clausen +2 more
- 01 Jul 2005
TL;DR: This paper introduces various kinds of qualitative features describing geometric relations between specified body points of a pose and shows how these features induce a time segmentation of motion capture data streams, and adopts efficient indexing methods allowing for flexible and efficient content-based retrieval and browsing in huge motion capture databases.
Warping character animations using visual motion features
Alberto Jovane,Pierre Raimbaud,Katja Zibrek,Claudio Pacchierotti,Marc Christie,Ludovic Hoyet,Anne-Hélène Olivier,Julien Pettré +7 more
TL;DR: In this article , viewpoint-dependent motion warping units that perform subtle updates on animations through the specification of visual motion features such as visibility, or spatial extent are proposed. But they do not consider the influence of the camera angle, and the resulting visual features it yields, as a mean to control and warp a character animation.
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