Results 101 to 110 of about 2,306,049 (216)

Mixed Super‐Circles

open access: yesComputer Graphics Forum, EarlyView.
Abstract We introduce mixed super‐circles, a position‐curvature formulation of the original dynamic 2D super‐helix model. Compared to the latter, purely curvature‐based model – the so‐called chained formulation –, the mixed formulation that we propose here drastically reduces the algorithmic complexity of the solving scheme – from quadratic to quasi ...
Emile Hohnadel   +2 more
wiley   +1 more source

A Splitting Architecture for Exact Reduced Coulomb Friction

open access: yesComputer Graphics Forum, EarlyView.
Abstract Existing approaches to frictional contact dynamics typically either modify the Coulomb law to improve numerical robustness or solve the exact law in a fully coupled monolithic form. However, in its reduced form, exact Coulomb friction can be written as a cone complementarity problem with an augmented velocity, which reveals a natural split ...
Hongcheng Song   +3 more
wiley   +1 more source

Advances in 4D Representation: Geometry, Motion, and Interaction

open access: yesComputer Graphics Forum, EarlyView.
We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao   +7 more
wiley   +1 more source

Dancing Points: Synthesizing Ballroom Dancing With Three‐Point Inputs

open access: yesComputer Graphics Forum, EarlyView.
From a dancer's head and hands motion captured by VR devices, we synthesize full‐body ballroom dancing for both leader and follower dancers. We decompose this dual‐character synthesis into jointly predicting both dancers' three‐point trajectories, then recovering each full body independently, resulting in a stable, responsive model trained with limited
Peizhuo Li   +3 more
wiley   +1 more source

Machine learning approaches in automated infant General Movements Assessment: A scoping review

open access: yesDevelopmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur   +4 more
wiley   +1 more source

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