Now showing items 1-3 of 3

    • 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. ...
    • 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 ...
    • 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 ...