Browsing SCA 17: Eurographics/SIGGRAPH Symposium on Computer Animation by Subject "Computing methodologies"

Now showing items 1-6 of 6

    • Density Maps for Improved SPH Boundary Handling 

      Koschier, Dan; Bender, Jan (ACM, 2017)
      In this paper, we present the novel concept of density maps for robust handling of static and rigid dynamic boundaries in fluid simulations based on Smoothed Particle Hydrodynamics (SPH). In contrast to the vast majority ...

    • Designing Cable-Driven Actuation Networks for Kinematic Chains and Trees 

      Megaro, Vittorio; Knoop, Espen; Spielberg, Andrew; Levin, David I.W.; Matusik, Wojciech; Gross, Markus; Thomaszewski, Bernhard; Bächer, Moritz (ACM, 2017)
      In this paper we present an optimization-based approach for the design of cable-driven kinematic chains and trees. Our system takes as input a hierarchical assembly consisting of rigid links jointed together with hinges. ...

    • Evaporation and Condensation of SPH-based Fluids 

      Hochstetter, Hendrik; Kolb, Andreas (ACM, 2017)
      In this paper we present a method to simulate evaporation and condensation of liquids. Therefore, both the air and liquid phases have to be simulated. We use, as a carrier of vapor, a coarse grid for the air phase and ...

    • Inequality Cloth 

      Jin, Ning; Lu, Wenlong; Geng, Zhenglin; Fedkiw, Ronald P. (ACM, 2017)
      As has been noted and discussed by various authors, numerical simulations of deformable bodies often adversely suffer from so-called ''locking'' artifacts. We illustrate that the ''locking'' of out-of-plane bending motion ...

    • Modeling and Data-Driven Parameter Estimation for Woven Fabrics 

      Clyde, David; Teran, Joseph; Tamstorf, Rasmus (ACM, 2017)
      Accurate estimation of mechanical parameters for simulation of woven fabrics is essential in many fields. To facilitate this we first present a new orthotropic hyperelastic constitutive model for woven fabrics. Next, we ...

    • Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks 

      Laine, Samuli; Karras, Tero; Aila, Timo; Herva, Antti; Saito, Shunsuke; Yu, Ronald; Li, Hao; Lehtinen, Jaakko (ACM, 2017)
      We present a real-time deep learning framework for video-based facial performance capture-the dense 3D tracking of an actor's face given a monocular video. Our pipeline begins with accurately capturing a subject using a ...