SIAM Journal on Control and Optimization
Journal of the ACM (JACM)
OBBTree: a hierarchical structure for rapid interference detection
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Robot Motion Planning
Motion texture: a two-level statistical model for character motion synthesis
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Interactive motion generation from examples
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Interactive control of avatars animated with human motion data
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Perception of Human Motion With Different Geometric Models
IEEE Transactions on Visualization and Computer Graphics
Planning biped locomotion using motion capture data and probabilistic roadmaps
ACM Transactions on Graphics (TOG)
Realistic synthesis of novel human movements from a database of motion capture examples
HUMO '00 Proceedings of the Workshop on Human Motion (HUMO'00)
An evaluation of a cost metric for selecting transitions between motion segments
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Rhythmic-motion synthesis based on motion-beat analysis
ACM SIGGRAPH 2003 Papers
Motion synthesis from annotations
ACM SIGGRAPH 2003 Papers
Perceptual metrics for character animation: sensitivity to errors in ballistic motion
ACM SIGGRAPH 2003 Papers
Snap-together motion: assembling run-time animations
ACM SIGGRAPH 2003 Papers
Obscuring length changes during animated motion
ACM SIGGRAPH 2004 Papers
Modeling Physical Capabilities of Humanoid Agents Using Motion Capture Data
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Evaluating motion graphs for character navigation
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
Momentum-based parameterization of dynamic character motion
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
Computing the duration of motion transitions: an empirical approach
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
The bin-covering technique for thresholding random geometric graph properties
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
Dynamic response for motion capture animation
ACM SIGGRAPH 2005 Papers
A data-driven approach to quantifying natural human motion
ACM SIGGRAPH 2005 Papers
Motion modeling for on-line locomotion synthesis
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Analyzing the physical correctness of interpolated human motion
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Behavior planning for character animation
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Fast and accurate goal-directed motion synthesis for crowds
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Motion patches: building blocks for virtual environments annotated with motion data
ACM SIGGRAPH 2006 Papers
Fat graphs: constructing an interactive character with continuous controls
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Proceedings of the 2007 symposium on Interactive 3D graphics and games
Responsive characters from motion fragments
ACM SIGGRAPH 2007 papers
Synthesis of constrained walking skills
ACM SIGGRAPH Asia 2008 papers
Watch Out! A Framework for Evaluating Steering Behaviors
Motion in Games
Evaluating distance metrics for animation blending
Proceedings of the 4th International Conference on Foundations of Digital Games
Achieving good connectivity in motion graphs
Graphical Models
Automatic construction of a minimum size motion graph
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
ACM SIGGRAPH Asia 2009 papers
Achieving good connectivity in motion graphs
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Motion rings for interactive gait synthesis
I3D '11 Symposium on Interactive 3D Graphics and Games
Scenario space: characterizing coverage, quality, and failure of steering algorithms
SCA '11 Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Adding physical like reaction effects to skeleton-based animations using controllable pendulums
Transactions on edutainment VI
Planning plausible human animation with environment-aware motion sampling
MIG'11 Proceedings of the 4th international conference on Motion in Games
Long term real trajectory reuse through region goal satisfaction
MIG'11 Proceedings of the 4th international conference on Motion in Games
Interactive buildup of animation sequences with captured motion data
Computer Animation and Virtual Worlds
Precomputed motion maps for unstructured motion capture
EUROSCA'12 Proceedings of the 11th ACM SIGGRAPH / Eurographics conference on Computer Animation
Precomputed motion maps for unstructured motion capture
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation
| Hi-index | 0.00 |
Realistic and directable humanlike characters are an ongoing goal in animation. Motion graph data structures hold much promise for achieving this goal; however, the quality of the results obtainable from a motion graph may not be easy to predict from its input motion clips. This article describes a method for using task-based metrics to evaluate the capability of a motion graph to create the set of animations required by a particular application. We examine this capability for typical motion graphs across a range of tasks and environments. We find that motion graph capability degrades rapidly with increases in the complexity of the target environment or required tasks, and that addressing deficiencies in a brute-force manner tends to lead to large, unwieldy motion graphs. The results of this method can be used to evaluate the extent to which a motion graph will fulfill the requirements of a particular application, lessening the risk of the data structure performing poorly at an inopportune moment. The method can also be used to characterize the deficiencies of motion graphs whose performance will not be sufficient, and to evaluate the relative effectiveness of different options for improving those motion graphs.