Search Results - "Erleben, K."

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  1. 1

    ADAPT: AI‐Driven Artefact Purging Technique for IMU Based Motion Capture by Schreiner, P., Netterstrøm, R., Yin, H., Darkner, S., Erleben, K.

    Published in Computer graphics forum (01-12-2024)
    “…While IMU based motion capture offers a cost‐effective alternative to premium camera‐based systems, it often falls short in matching the latter's realism…”
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    Journal Article
  2. 2

    Differentiable Depth for Real2Sim Calibration of Soft Body Simulations by Arnavaz, K., Nielsen, M. Kragballe, Kry, P. G., Macklin, M., Erleben, K.

    Published in Computer graphics forum (01-02-2023)
    “…In this work, we present a novel approach for calibrating material model parameters for soft body simulations using real data. We use a fully differentiable…”
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    Journal Article
  3. 3

    The Matchstick Model for Anisotropic Friction Cones by Erleben, K., Macklin, M., Andrews, S., Kry, P. G.

    Published in Computer graphics forum (01-02-2020)
    “…Inspired by frictional behaviour that is observed when sliding matchsticks against one another at different angles, we propose a phenomenological anisotropic…”
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    Journal Article
  4. 4

    Primal/Dual Descent Methods for Dynamics by Macklin, M., Erleben, K., Müller, M., Chentanez, N., Jeschke, S., Kim, T.Y.

    Published in Computer graphics forum (01-12-2020)
    “…We examine the relationship between primal, or force‐based, and dual, or constraint‐based formulations of dynamics. Variational frameworks such as Projective…”
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    Journal Article
  5. 5

    Contact modeling from images using cut finite element solvers by Claus, S., Kerfriden, P., Moshfeghifar, F., Darkner, S., Erleben, K., Wong, C.

    “…This paper presents a robust digital pipeline from CT images to the simulation of contact between multiple bodies. The proposed strategy relies on a recently…”
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    Journal Article