PUSH COMES TO SHOVE

Abstract

Abstract In th is pa per, w e p r o p o se a rea lti m e a p p r o x i m a tio n m e tho d fo r g e n era ti n g in tellig en t f o o t p l a cem en t i n fo rm at i o n fo r i n t era c t i v e b i p e d ch a r a c t er s . O u r m o del u s e s a n un c o m p lica t e d a n d efficie n t ph y sicsba se d ...

Citation

Kenwright, Ben "PUSH COMES TO SHOVE".  Cyberworlds (CW), 2012 International Conference on, .

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Author(s): Kenwright, Ben.
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Equations Stepped Easily Lagrangian Function Expansion Positions Relative Selected Prosing Simulation Simulating Method 60 Experiments Indicates Recursively Perming Step Improvements Configurations Attribute Descriptors Important Robustness Discretizations Linear Storage Size 10 Details Far Exception Support Effector Case Than Threshold Uses Initial Starting Compute Pattern Phase Dash 11 Stable Predictions Readily Estimates Temporally Characters Eulerianlagrangian Discretization Length Corresponding 0 Features Coordinates Geometry Differential Finally Refinement Hyperbolic Partial Equations Learning Dirichlet Computation Robust Energy Generally 31 Nesary Application Accuracies Algorithm Accuracy Perming Footsteps Horizon Contact Permer Picked 2 Results Comparison Neverless Regularity Convergence Triangle Simple Generation Observed Minimum Symmetric Vertex Predicted Direct 67 Convolution Always Aligns Locally Operator Property Features Extensively Intention Robust Representative Related Particular Stacks Frontal 83 Working Complex Simulation Mulation Scales Robustness Related Closely 2 Captured Parameterization Sucsive Bijectivity Surface Implies Ground Ensures Velocity Convergence Projection Variable Algorithm Slightly Finger 2 Broadly Eventually Moving Target Toward Convergence Applying Points Pointnet Individual Neighboring Connecting Constructing Geometric Neighborhood 4 Tree Leg Toe Among Duration Such Effectors Obtain Varying Normal Lobes Unimmagnitude Fields Magnitude Octahedral 13 Mass Likely Opt Compatible Will Can Buildings More Since Matching Designs Have Graphs Boundaries Similar 18 Properties Similar Generate Trajectory Perturbation Touches Imagine Determined Reliably Options Design 57 Settlements Agriculture And Graduates This Trade Order 15 Subjectively Becomes Creation Animation Important Similar Stitched Layers Bottom 33 Behavior Walking Better Interactions Captured Pickup Scattered Filters Reconstruct Signal Solver Active Problems 7 Our Situations Styles Using Objective The Reduces Model Explained Natural Reduces Different Model Different Which 0 Optimization Measured Sampled Chamfer Objective Reference Points Debugging Improvements Minimal Penrose System Writing Attach Representation 65 Similar Discrete Derive Gradient Commonly Requires Particular Initial Elements Intermediate Collapses Ordering Respecting Constraints 7 The Images Use Only The Images And Encourage The Use Use Use Encourage Images The 2 Approach For Random Approach Random For Sampling Sampling Included Random For Sampling Candidates Pure For 16 Not Intrinsic Natural Have Powerful Are Shapes Like Fosters Distinct Properties Rom Images Selfsimilarities Finally 5