Goal-directed, dynamic animation of human walking
SIGGRAPH '89 Proceedings of the 16th annual conference on Computer graphics and interactive techniques
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Footskate cleanup for motion capture editing
Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation
On-line locomotion generation based on motion blending
Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Motion capture assisted animation: texturing and synthesis
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Real Time Responsive Animation with Personality
IEEE Transactions on Visualization and Computer Graphics
Verbs and Adverbs: Multidimensional Motion Interpolation
IEEE Computer Graphics and Applications
Animating by Multi-Level Sampling
CA '00 Proceedings of the Computer Animation
Style-based inverse kinematics
ACM SIGGRAPH 2004 Papers
Automated extraction and parameterization of motions in large data sets
ACM SIGGRAPH 2004 Papers
Enriching a motion collection by transplanting limbs
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
Geostatistical motion interpolation
ACM SIGGRAPH 2005 Papers
Style translation for human motion
ACM SIGGRAPH 2005 Papers
Hierarchical Gaussian process latent variable models
Proceedings of the 24th international conference on Machine learning
Multifactor Gaussian process models for style-content separation
Proceedings of the 24th international conference on Machine learning
Near-optimal character animation with continuous control
ACM SIGGRAPH 2007 papers
Enriching a motion database by analogous combination of partial human motions
The Visual Computer: International Journal of Computer Graphics
Clone attack! Perception of crowd variety
ACM SIGGRAPH 2008 papers
Modeling spatial and temporal variation in motion data
ACM SIGGRAPH Asia 2009 papers
Evaluating the distinctiveness and attractiveness of human motions on realistic virtual bodies
ACM Transactions on Graphics (TOG)
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Style and variation are two vital components of human motion: style differentiates between examples of the same behavior (slow walk vs. fast walk) while variation differentiates between examples of the same style (vigorous vs. lackadaisical arm swing). This paper presents a novel method to simultaneously model style and variation of motion data captured from different subjects performing the same behavior. An articulated skeleton is separated into several joint groups, and latent variation parameters are introduced to parameterize the variation of each partial motion. The relationships between user-defined style parameters and latent variation parameters are represented by a Bayesian network that is automatically learned from example motions. The geostatistical model, named universal Kriging, is extended to be a style-and-variation interpolation to generate partial motions for all joint groups. Experiments with sideways stepping, walking and running behaviors have demonstrated that the motion sequences synthesized by our method are smooth and natural, while their variations can be easily noticed even when their input style parameters are the same.