Complex character positioning based on a compatible flow model of multiple supports

Boulic, Ronan; Mas-Sansó, Ramon; Thalmann, Daniel

doi:10.1109/2945.620491

Cited by 34 publications

(14 citation statements)

References 25 publications

(47 reference statements)

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“…This paper is the result of inspirations from previous work, including meshless deformations [3,4], gradient domain techniques [5,6,7,8,9], multi-resolution methods [10,11], Inverse Kinematics (IK) techniques [12,13], space deformation [2,14] and rigidity-based methods [1,15]. [4] proposed Fast Lattice Shape Matching (FastLSM), which is an extension of deformable shape matching to regular lattices with embedded geometry.…”

Section: Previous Workmentioning

confidence: 99%

Multi-scale Method for Adaptive Mesh Editing Based on Rigidity Estimation

Liu

2008

2008 Sixth Indian Conference on Computer Vision, Graphics &Amp; Image Processing

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We present a multi-scale approach for direct manipulation of mesh models based on pre-estimated rigidity. Our method enhances space deformation by constructing a novel deformable structure with several layers of deformation graphs which have different densities of control nodes. An appropriate deformation graph is dynamically chosen according to the handle configuration. Such handle-aware strategy, together with special treatment for graph nodes, brings great improvement on both editing effect and performance. We demonstrate how to obtain a reduced deformable model by generating lattice structure and how to estimate the rigidity of mesh surface. Based on the rigidity analysis, we adjust the granularity of the computation which helps to speed the solving process. The experimental results show that our method preserves detailed features well and provides fast design of pleasing poses as the complexity of computing is confined within a limited range.

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Section: Previous Workmentioning

confidence: 99%

Multi-scale Method for Adaptive Mesh Editing Based on Rigidity Estimation

Liu

2008

2008 Sixth Indian Conference on Computer Vision, Graphics &Amp; Image Processing

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“…Brain science studies suggest some minimization criteria [5,23], although few such studies have been done for whole body movements. An inverse dynamics method generates whole body movements by minimizing total torque [12], and a technique based on inverse kinetics [2] enables direct control of body balance. However, since the objective function is always fixed, the resulting motions are not natural for complicated sequential movements.…”

Section: Related Workmentioning

confidence: 99%

Keyframe animation of virtual humans via motion data learning

Mukai

Kuriyama

Kaneko

2006

Systems & Computers in Japan

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SUMMARYThis paper proposes a method for creating human animations by utilizing motion capture data in traditional keyframe-based motion editing. This automatically generates complicated sequential movements of the whole body from multiple constraints of end-effectors. Different types of motion learning are introduced to optimize postures at each keyframe and motion curves for interpolating them, separately. Postures at every keyframe are determined by using hierarchical reinforcement learning so as to have similar features to motion samples with a data-centric objective function. Plausible postures are efficiently sought among the huge number of possible states because a skeletal structure is hierarchically decomposed and postures are efficiently quantized to narrow down the configuration space. Optimized postures are then interpolated using motion curves that are learned with acceleration templates from referential motion segments. This new technique of reusing motion data is well suited to design motions by manipulating end-effectors at each keyframe.

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“…Boulic et al present an impressive system that combines inverse kinetics for balance control and inverse kinematics for reach constraints [18]. Their solutions take the form of the pseudo-inverse strategy for inverse kinematics as discussed above.…”

Section: Computational Modelsmentioning

confidence: 99%

Methods for exploring expressive stance

NeffMichael

FiumeEugene

2006

Graphical Models

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The postures a character adopts over time are a key expressive aspect of its movement. While IK tools help a character achieve positioning constraints, there are few tools that help an animator with the expressive aspects of a character's poses. Three aspects are required in good pose design: achieving a set of world space constraints, finding a body shape that reflects the character's inner state and personality, and making adjustments to balance that act to strengthen the pose and also maintain realism. This is routinely done in the performing arts, but is uncommon in computer graphics. Our system combines all three components within a single body shape solver. The system combines feedback based balance control with a hybrid IK system that utilizes optimization based and analytic IK components. The IK system has been carefully designed to allow direct control over various aesthetically important aspects of body shape, such as the type of curve in the spine and the relationship between the collar bones. The system allows for both low-level control and for higher level shape sets to be defined and used. Shape sets allow an animator to use a single scalar to vary a character's pose within a specified shape class, providing an intuitive parameterization of a posture. Changing a shape set allows an animator to quickly experiment with different posture options for a movement sequence, supporting rapid exploration of the aesthetic space.

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Complex character positioning based on a compatible flow model of multiple supports

Cited by 34 publications

References 25 publications

Multi-scale Method for Adaptive Mesh Editing Based on Rigidity Estimation

Multi-scale Method for Adaptive Mesh Editing Based on Rigidity Estimation

Keyframe animation of virtual humans via motion data learning

Methods for exploring expressive stance

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