Retargetting motion to new characters
Proceedings of the 25th 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
Verbs and Adverbs: Multidimensional Motion Interpolation
IEEE Computer Graphics and Applications
Planning Algorithms
Construction and optimal search of interpolated motion graphs
ACM SIGGRAPH 2007 papers
Simulating biped behaviors from human motion data
ACM SIGGRAPH 2007 papers
Interactive simulation of stylized human locomotion
ACM SIGGRAPH 2008 papers
Contact-aware nonlinear control of dynamic characters
ACM SIGGRAPH 2009 papers
ACM SIGGRAPH 2010 papers
Editing dynamic human motions via momentum and force
Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
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This paper presents an approach to planning and synthesizing collision-free motions of characters with extreme physical capabilities, or superheroes, using a human motion database. The framework utilizes the author's previous work on momentum-based motion editing, where the user can scale the momentum of a motion capture sequence to make more or less dynamics motions, while maintaining the physical plausibility and original motion style. In our new planning framework, we use a motion graph that contains all possible motion transitions to list the candidate motion segments at each planning step. The planner then computes the momentum scale that should be applied to the original motion segment in order to make it collision-free. Experimental results demonstrate that the planning algorithm can plan and synthesize motions for navigating through a challenging environment, using a relatively small motion capture data set.